diff --git a/.gitignore b/.gitignore index ecda6df..64ce280 100644 --- a/.gitignore +++ b/.gitignore @@ -4,3 +4,7 @@ .env *.egg-info dist +node_modules +.cursor +megalinter-reports +.DS_Store diff --git a/package.json b/package.json new file mode 100644 index 0000000..106ac13 --- /dev/null +++ b/package.json @@ -0,0 +1,5 @@ +{ + "devDependencies": { + "@types/uuid": "^10.0.0" + } +} diff --git a/pnpm-lock.yaml b/pnpm-lock.yaml new file mode 100644 index 0000000..a6f54f4 --- /dev/null +++ b/pnpm-lock.yaml @@ -0,0 +1,22 @@ +lockfileVersion: '9.0' + +settings: + autoInstallPeers: true + excludeLinksFromLockfile: false + +importers: + + .: + devDependencies: + '@types/uuid': + specifier: ^10.0.0 + version: 10.0.0 + +packages: + + '@types/uuid@10.0.0': + resolution: {integrity: sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==} + +snapshots: + + '@types/uuid@10.0.0': {} diff --git a/pyproject.toml b/pyproject.toml index bf9aa1e..8af96b4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -18,14 +18,14 @@ dependencies = [ "click>=8.1.8", "httpx>=0.28.1", "langchain-openai>=0.3.1", - "mcp>=1.3.0", + "mcp[cli]>=1.9.0", "pydantic>=2.10.6", "anyio", "python-dotenv", "python-json-logger>=2.0.7", "starlette", "uvicorn", - "playwright>=1.50.0", + "playwright>=1.52.0", ] [project.optional-dependencies] @@ -85,6 +85,9 @@ packages = ["src/browser_use_mcp_server", "server"] [tool.hatch.version] source = "uv-dynamic-versioning" +[tool.hatch.metadata] +allow-direct-references = true + [tool.uv-dynamic-versioning] vcs = "git" style = "pep440" diff --git a/server/__init__.py b/server/__init__.py index d6cba9a..3d93cfd 100644 --- a/server/__init__.py +++ b/server/__init__.py @@ -3,27 +3,3 @@ This package provides the core implementation of the MCP server for browser automation. """ - -from .server import ( - CONFIG, - Server, - cleanup_old_tasks, - create_browser_context_for_task, - create_mcp_server, - init_configuration, - main, - run_browser_task_async, - task_store, -) - -__all__ = [ - "Server", - "main", - "create_browser_context_for_task", - "run_browser_task_async", - "cleanup_old_tasks", - "create_mcp_server", - "init_configuration", - "CONFIG", - "task_store", -] diff --git a/server/__main__.py b/server/__main__.py index 2812938..4338b36 100644 --- a/server/__main__.py +++ b/server/__main__.py @@ -1,7 +1,9 @@ +#!/usr/bin/env python3 + """Server entry point.""" import sys -from server import main +from server.cli import main sys.exit(main()) diff --git a/server/browser.py b/server/browser.py new file mode 100644 index 0000000..1d93f6d --- /dev/null +++ b/server/browser.py @@ -0,0 +1,389 @@ +import asyncio +import json +import logging +import os +import traceback +from datetime import datetime +from typing import Any, Dict, Optional, Tuple, Literal +import sys + +import mcp.types as types +from browser_use import Agent +from browser_use.browser.browser import Browser, BrowserConfig +from browser_use.browser.context import ( + BrowserContext, + BrowserContextConfig, + BrowserContextState, +) +from browser_use.controller.service import Controller +from langchain_core.language_models import BaseLanguageModel +from pydantic import BaseModel, Field + +from .config import CONFIG +from .custom_logging import TaskLogListHandler + +logger = logging.getLogger(__name__) + +task_store: Dict[str, Dict[str, Any]] = {} + + +class TextStreamPartParams(BaseModel): + """Parameters for a text stream part notification.""" + + type: Literal["text_stream_part"] = Field(default="text_stream_part", frozen=True) + text: str + + +class TextStreamPartNotification(BaseModel): + """Custom notification model for sending text stream parts.""" + + method: Literal["text_stream_event"] = Field( + default="text_stream_event", frozen=True + ) + params: TextStreamPartParams + + +async def create_browser_context_for_task( + chrome_path: Optional[str] = None, + window_width: int = CONFIG["DEFAULT_WINDOW_WIDTH"], + window_height: int = CONFIG["DEFAULT_WINDOW_HEIGHT"], + locale: str = CONFIG["DEFAULT_LOCALE"], + cdp_target_id: Optional[str] = None, + cdp_url: Optional[str] = None, + ctx: Optional[Any] = None, + mcp_request_id: Optional[str] = None, + event_loop: Optional[asyncio.AbstractEventLoop] = None, +) -> Tuple[Browser, BrowserContext, Controller]: + """ + Create a fresh browser and context for a task. + """ + try: + browser_config = BrowserConfig( + extra_chromium_args=CONFIG["BROWSER_ARGS"], + ) + if chrome_path: + browser_config.chrome_instance_path = chrome_path + if cdp_url: + browser_config.cdp_url = cdp_url + logger.info(f"Using CDP URL: {cdp_url}") + + browser = Browser(config=browser_config) + context_config = BrowserContextConfig( + wait_for_network_idle_page_load_time=0.6, + maximum_wait_page_load_time=1.2, + minimum_wait_page_load_time=0.2, + browser_window_size={"width": window_width, "height": window_height}, + locale=locale, + user_agent=CONFIG["DEFAULT_USER_AGENT"], + highlight_elements=True, + viewport_expansion=0, + ) + state = None + if cdp_target_id: + state = BrowserContextState(target_id=cdp_target_id) + logger.info(f"Using specific tab with target ID: {cdp_target_id}") + + controller = Controller(background_mode=True) + logger.info("Using background mode to prevent focus stealing") + + context = BrowserContext( + browser=browser, + config=context_config, + state=state, + background_mode=True, + ) + return browser, context, controller + except Exception as e: + logger.error(f"Error creating browser context: {str(e)}") + raise + + +async def run_browser_task_async( + task_id: str, + url: str, + action: str, + llm: BaseLanguageModel, + window_width: int = CONFIG["DEFAULT_WINDOW_WIDTH"], + window_height: int = CONFIG["DEFAULT_WINDOW_HEIGHT"], + locale: str = CONFIG["DEFAULT_LOCALE"], + cdp_target_id: Optional[str] = None, + cdp_url: Optional[str] = None, + ctx: Optional[Any] = None, + mcp_request_id: Optional[str] = None, + event_loop: Optional[asyncio.AbstractEventLoop] = None, +) -> None: + browser = None + context = None + controller = None + task_logs = [] + list_handler = TaskLogListHandler(task_logs) + browser_use_logger = logging.getLogger("browser_use") + + try: + # Stream task start + if ctx and hasattr(ctx, "send_notification"): + start_message_text = f"🟢 Task {task_id} started" + logger.info(f"Sending TASK START via notification: {start_message_text}") + + start_payload_json = json.dumps( + {"type": "status", "task_id": task_id, "message": start_message_text} + ) + + text_part_params = TextStreamPartParams(text=start_payload_json) + notification = TextStreamPartNotification(params=text_part_params) + await ctx.send_notification(notification, related_request_id=mcp_request_id) + else: + logger.warning( + "Session (ctx) or send_notification method not available for initial stream." + ) + + browser_use_logger.addHandler(list_handler) + browser_use_logger.setLevel(logging.INFO) + + task_store[task_id]["status"] = "running" + task_store[task_id]["start_time"] = datetime.now().isoformat() + task_store[task_id]["logs"] = task_logs + task_store[task_id]["progress"] = { + "current_step": 0, + "total_steps": 0, + "steps": [], + } + + async def step_callback( + browser_state: Any, agent_output: Any, step_number: int + ) -> None: + task_store[task_id]["progress"]["current_step"] = step_number + task_store[task_id]["progress"]["total_steps"] = max( + task_store[task_id]["progress"]["total_steps"], step_number + ) + step_info = {"step": step_number, "time": datetime.now().isoformat()} + + current_goal = None + current_memory = None + current_evaluation = None + + if agent_output and hasattr(agent_output, "current_state"): + current_state = agent_output.current_state + if hasattr(current_state, "next_goal"): + current_goal = current_state.next_goal + step_info["goal"] = current_goal + if hasattr(current_state, "memory_summary"): + current_memory = current_state.memory_summary + step_info["memory"] = current_memory + elif hasattr(current_state, "memory"): + current_memory = current_state.memory + step_info["memory"] = current_memory + if hasattr(current_state, "last_step_evaluation"): + current_evaluation = current_state.last_step_evaluation + step_info["evaluation"] = current_evaluation + elif hasattr(current_state, "evaluation"): + current_evaluation = current_state.evaluation + step_info["evaluation"] = current_evaluation + + task_store[task_id]["progress"]["steps"].append(step_info) + logger.info( + f"Task {task_id}: Step {step_number} completed - Goal: {current_goal}, Eval: {current_evaluation}, Mem: {current_memory}" + ) + + if ctx and hasattr(ctx, "send_notification"): + progress_payload_dict = { + "type": "progress", + "task_id": task_id, + "goal": current_goal, + "memory": current_memory, + "evaluation": current_evaluation, + "time": datetime.now().isoformat(), + } + + progress_payload_json = json.dumps(progress_payload_dict) + logger.info( + f"BROWSER.PY: Sending PROGRESS STEP via notification: {progress_payload_json}" + ) + + text_part_params = TextStreamPartParams(text=progress_payload_json) + notification = TextStreamPartNotification(params=text_part_params) + await ctx.send_notification( + notification, related_request_id=mcp_request_id + ) + else: + logger.warning( + "BROWSER.PY: Session (ctx) or send_notification method not available for progress stream." + ) + + async def done_callback(history: Any) -> None: + logger.info(f"Task {task_id}: Completed with {len(history.history)} steps") + current_step = task_store[task_id]["progress"]["current_step"] + 1 + task_store[task_id]["progress"]["steps"].append( + { + "step": current_step, + "time": datetime.now().isoformat(), + "status": "completed", + } + ) + if ctx and hasattr(ctx, "send_notification"): + done_data = { + "type": "done", + "task_id": task_id, + "time": datetime.now().isoformat(), + } + + done_json = json.dumps(done_data) + logger.info( + f"BROWSER.PY: Sending TASK DONE via notification: {done_json}" + ) + + text_part_params = TextStreamPartParams(text=done_json) + notification = TextStreamPartNotification(params=text_part_params) + await ctx.send_notification( + notification, related_request_id=mcp_request_id + ) + else: + logger.warning( + "BROWSER.PY: Session (ctx) or send_notification method not available for done stream." + ) + + chrome_path = os.environ.get("CHROME_PATH") + if cdp_target_id: + logger.info(f"Using CDP target ID from params: {cdp_target_id}") + if cdp_url: + logger.info(f"Using CDP URL from params: {cdp_url}") + + browser, context, controller = await create_browser_context_for_task( + chrome_path=chrome_path, + window_width=window_width, + window_height=window_height, + locale=locale, + cdp_target_id=cdp_target_id, + cdp_url=cdp_url, + ctx=ctx, + mcp_request_id=mcp_request_id, + event_loop=event_loop, + ) + + agent = Agent( + task=f"First, navigate to {url}. Then, {action}", + llm=llm, + browser_context=context, + controller=controller, + background_mode=True, + register_new_step_callback=step_callback, + register_done_callback=done_callback, + ) + + agent_result = await agent.run(max_steps=CONFIG["MAX_AGENT_STEPS"]) + final_result = agent_result.final_result() + + if final_result and hasattr(final_result, "raise_for_status"): + final_result.raise_for_status() + result_text = str(final_result.text) + else: + result_text = ( + str(final_result) if final_result else "No final result available" + ) + + response_data = { + "final_result": result_text, + "success": agent_result.is_successful(), + "has_errors": agent_result.has_errors(), + "errors": [str(err) for err in agent_result.errors() if err], + "urls_visited": [str(url) for url in agent_result.urls() if url], + "actions_performed": agent_result.action_names(), + "extracted_content": agent_result.extracted_content(), + "steps_taken": agent_result.number_of_steps(), + } + + task_store[task_id]["status"] = "completed" + task_store[task_id]["end_time"] = datetime.now().isoformat() + task_store[task_id]["result"] = response_data + + if ctx and hasattr(ctx, "send_notification"): + result_data = { + "type": "result", + "task_id": task_id, + "result": response_data, + "time": datetime.now().isoformat(), + } + + result_json = json.dumps(result_data) + logger.info( + f"BROWSER.PY: Sending TASK RESULT via notification: {result_json}" + ) + + text_part_params = TextStreamPartParams(text=result_json) + notification = TextStreamPartNotification(params=text_part_params) + await ctx.send_notification(notification, related_request_id=mcp_request_id) + else: + logger.warning( + "BROWSER.PY: Session (ctx) or send_notification method not available for result stream." + ) + + except Exception as e: + logger.error(f"Error in async browser task {task_id}: {str(e)}") + tb = traceback.format_exc() + task_store[task_id]["status"] = "failed" + task_store[task_id]["end_time"] = datetime.now().isoformat() + task_store[task_id]["error"] = str(e) + task_store[task_id]["traceback"] = tb + + if ctx and hasattr(ctx, "send_notification"): + error_data = { + "type": "error", + "task_id": task_id, + "error": str(e), + "time": datetime.now().isoformat(), + } + + error_json = json.dumps(error_data) + logger.info( + f"BROWSER.PY: Sending TASK ERROR via notification: {error_json}" + ) + + text_part_params = TextStreamPartParams(text=error_json) + notification = TextStreamPartNotification(params=text_part_params) + await ctx.send_notification(notification, related_request_id=mcp_request_id) + else: + logger.warning( + "BROWSER.PY: Session (ctx) or send_notification method not available for error stream." + ) + + finally: + try: + if context: + await context.close() + if browser: + await browser.close() + logger.info(f"Browser resources for task {task_id} cleaned up") + except Exception as e: + logger.error( + f"Error cleaning up browser resources for task {task_id}: {str(e)}" + ) + finally: + browser_use_logger.removeHandler(list_handler) + + +async def cleanup_old_tasks() -> None: + """ + Periodically clean up old completed tasks to prevent memory leaks. + """ + while True: + try: + await asyncio.sleep(CONFIG["CLEANUP_INTERVAL_SECONDS"]) + current_time = datetime.now() + tasks_to_remove = [] + for task_id, task_data in list( + task_store.items() + ): # Iterate over a copy for safe deletion + if ( + task_data["status"] in ["completed", "failed"] + and "end_time" in task_data + ): + end_time = datetime.fromisoformat(task_data["end_time"]) + hours_elapsed = (current_time - end_time).total_seconds() / 3600 + if hours_elapsed > 1: + tasks_to_remove.append(task_id) + for task_id in tasks_to_remove: + del task_store[task_id] + if tasks_to_remove: + logger.info(f"Cleaned up {len(tasks_to_remove)} old tasks") + except Exception as e: + logger.error(f"Error in task cleanup: {str(e)}") diff --git a/server/cli.py b/server/cli.py new file mode 100644 index 0000000..1e37558 --- /dev/null +++ b/server/cli.py @@ -0,0 +1,249 @@ +""" +Browser Use MCP Server (CLI Interface) + +This module provides the command-line interface for the Browser Use MCP server. +It orchestrates the setup and launch of the server components which are now +refactored into separate modules for better organization and adherence to the +Single Responsibility Principle. +""" + +import logging +import os +import sys +import threading +import time +from typing import Optional + +import click +from dotenv import load_dotenv +from langchain_openai import ChatOpenAI +from mcp.server.sse import SseServerTransport + +load_dotenv() + +SERVER_DIR = os.path.dirname(os.path.abspath(__file__)) +if SERVER_DIR not in sys.path: + sys.path.insert(0, SERVER_DIR) +PARENT_DIR = os.path.dirname(SERVER_DIR) +if PARENT_DIR not in sys.path: + sys.path.insert( + 0, PARENT_DIR + ) + +from . import custom_logging +from .config import CONFIG +from .mcp_handlers import create_mcp_server +from .web_setup import create_starlette_app, run_server + +logger = logging.getLogger(__name__) + + +@click.command() +@click.option( + "--port", + default=8000, + help="Port to listen on for SSE", + type=int, + show_default=True, +) +@click.option( + "--proxy-port", + default=None, + type=int, + help="Port for mcp-proxy to listen on. Activates proxy mode. If --stdio is also used, this port is for client connections to proxy.", +) +@click.option("--chrome-path", default=None, help="Path to Chrome executable", type=str) +@click.option( + "--window-width", + default=None, + type=int, + help="Browser window width (overrides config)", +) +@click.option( + "--window-height", + default=None, + type=int, + help="Browser window height (overrides config)", +) +@click.option( + "--locale", default=None, help="Browser locale (overrides config)", type=str +) +@click.option( + "--task-expiry-minutes", + default=None, + type=int, + help="Minutes after which tasks are considered expired (overrides config)", +) +@click.option( + "--stdio", + is_flag=True, + default=False, + help="Enable mcp-proxy stdio mode (for chaining with other tools). Implies proxy mode.", + show_default=True, +) +@click.option( + "--json-response", + is_flag=True, + default=False, + help="For StreamableHTTP: Enable plain JSON responses instead of SSE streams.", + show_default=True, +) +@click.option( + "--event-store-max-events-per-stream", + default=None, + type=int, + help="For StreamableHTTP (InMemoryEventStore): Max events per session.", + show_default=True, +) +def main( + port: int, + proxy_port: Optional[int], + chrome_path: Optional[str], + window_width: Optional[int], + window_height: Optional[int], + locale: Optional[str], + task_expiry_minutes: Optional[int], + stdio: bool, + json_response: bool, + event_store_max_events_per_stream: Optional[int], +) -> int: + """ + Run the browser-use MCP server, orchestrating components from refactored modules. + """ + logger.info("Initializing server with CLI arguments and configuration...") + + # Update global CONFIG with CLI parameters if they are provided + if window_width is not None: + CONFIG["DEFAULT_WINDOW_WIDTH"] = window_width + if window_height is not None: + CONFIG["DEFAULT_WINDOW_HEIGHT"] = window_height + if locale is not None: + CONFIG["DEFAULT_LOCALE"] = locale + if task_expiry_minutes is not None: + CONFIG["DEFAULT_TASK_EXPIRY_MINUTES"] = task_expiry_minutes + CONFIG["PORT"] = port + + CONFIG["JSON_RESPONSE"] = json_response + if event_store_max_events_per_stream is not None: + CONFIG["EVENT_STORE_MAX_EVENTS_PER_STREAM"] = event_store_max_events_per_stream + + if chrome_path: + os.environ["CHROME_PATH"] = chrome_path + logger.info(f"Using Chrome path explicitly set to: {chrome_path}") + elif os.environ.get("CHROME_PATH"): + logger.info( + f"Using Chrome path from environment variable: {os.environ.get('CHROME_PATH')}" + ) + else: + logger.info( + "No Chrome path specified (CLI or env), Playwright will use its default." + ) + + try: + llm = ChatOpenAI(model="gpt-4o", temperature=0.0) + logger.info(f"Language model initialized: {llm.model_name}") + except Exception as e: + logger.error(f"Failed to initialize Language Model: {e}") + return 1 + + mcp_app = create_mcp_server( + llm=llm, + window_width=CONFIG["DEFAULT_WINDOW_WIDTH"], + window_height=CONFIG["DEFAULT_WINDOW_HEIGHT"], + locale=CONFIG["DEFAULT_LOCALE"], + ) + logger.info("MCP server instance configured.") + + starlette_app = create_starlette_app(mcp_app=mcp_app) + logger.info("Starlette application with StreamableHTTP support created.") + + actual_proxy_port = proxy_port + if stdio and actual_proxy_port is None: + # If stdio is on and no specific proxy-port for client connections, mcp-proxy might not listen on a TCP port for clients. + # It would primarily use stdin/stdout for communication with another tool. + # We might still define a default if we expect clients to connect TO the proxy, even in stdio mode. + # For now, let's assume if proxy_port is None in stdio, it means no external client port for the proxy. + logger.info("--stdio mode enabled. mcp-proxy will use stdin/stdout.") + elif stdio and actual_proxy_port is not None: + logger.info( + f"--stdio mode enabled. mcp-proxy will use stdin/stdout and also listen on port {actual_proxy_port} for SSE clients." + ) + + enable_proxy_mode = stdio or (proxy_port is not None) + + if enable_proxy_mode: + import subprocess + + uvicorn_thread = threading.Thread( + target=run_server, args=(starlette_app, port, None), daemon=True + ) + uvicorn_thread.start() + logger.info( + f"Uvicorn server (for MCP StreamableHTTP) starting on port {port} in a background thread." + ) + time.sleep(2) # Brief pause for Uvicorn to initialize + + proxy_command_args = ["mcp-proxy"] + # Target URL for mcp-proxy changed to /mcp_streamable (or your chosen path for StreamableHTTPSessionManager) + # This assumes StreamableHTTPSessionManager handles GET requests on its base path for establishing the stream if json_response=False + proxy_target_url = f"http://localhost:{port}/mcp_streamable" + + if stdio: + proxy_command_args.append(proxy_target_url) + else: + proxy_command_args.append(proxy_target_url) + + if actual_proxy_port: + proxy_command_args.extend( + ["--sse-port", str(actual_proxy_port)] + ) + + proxy_command_args.extend(["--allow-origin", "*"]) + + logger.info(f"Starting mcp-proxy with command: {' '.join(proxy_command_args)}") + if actual_proxy_port and not stdio: + logger.info( + f"mcp-proxy expected to be accessible for clients on port {actual_proxy_port}." + ) + elif stdio and actual_proxy_port: + logger.info( + f"mcp-proxy in stdio mode, also listening for clients on {actual_proxy_port}." + ) + elif stdio: + logger.info( + "mcp-proxy in stdio mode, connected to another process via stdin/stdout." + ) + + try: + # Bandit B603: subprocess_popen_with_shell_equals_true - not used here, shell=False is default + # Bandit B607: start_process_with_partial_path - mcp-proxy should be in PATH + proxy_process = subprocess.Popen(proxy_command_args) # nosec B603 B607 + proxy_process.wait() + logger.info( + f"mcp-proxy process (PID: {proxy_process.pid}) has exited with code {proxy_process.returncode}." + ) + except FileNotFoundError: + logger.error( + "mcp-proxy command not found. Please ensure it is installed and in your system PATH." + ) + return 1 + except Exception as e: + logger.error(f"An error occurred while running mcp-proxy: {e}") + return 1 + finally: + if uvicorn_thread.is_alive(): + logger.info( + "mcp-proxy exited. Uvicorn (daemon thread) will terminate when main thread exits." + ) + else: + logger.info( + f"Running in direct StreamableHTTP mode on port {port}. mcp-proxy is not active." + ) + run_server(starlette_app, port, None) + + logger.info("Server shutdown sequence initiated or main process ended.") + return 0 + + +if __name__ == "__main__": + main() diff --git a/server/config.py b/server/config.py new file mode 100644 index 0000000..74244c9 --- /dev/null +++ b/server/config.py @@ -0,0 +1,69 @@ +import os +from typing import Any, Dict + + +def parse_bool_env(env_var: str, default: bool = False) -> bool: + """ + Parse a boolean environment variable. + + Args: + env_var: The environment variable name + default: Default value if not set + + Returns: + Boolean value of the environment variable + """ + value = os.environ.get(env_var) + if value is None: + return default + + return value.lower() in ("true", "yes", "1", "y", "on") + + +def init_configuration() -> Dict[str, Any]: + """ + Initialize configuration from environment variables with defaults. + + Returns: + Dictionary containing all configuration parameters + """ + config = { + # Browser window settings + "DEFAULT_WINDOW_WIDTH": int(os.environ.get("BROWSER_WINDOW_WIDTH", 1280)), + "DEFAULT_WINDOW_HEIGHT": int(os.environ.get("BROWSER_WINDOW_HEIGHT", 1100)), + # Browser config settings + "DEFAULT_LOCALE": os.environ.get("BROWSER_LOCALE", "en-US"), + "DEFAULT_USER_AGENT": os.environ.get( + "BROWSER_USER_AGENT", + "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36", + ), + # Task settings + "DEFAULT_TASK_EXPIRY_MINUTES": int(os.environ.get("TASK_EXPIRY_MINUTES", 60)), + "DEFAULT_ESTIMATED_TASK_SECONDS": int( + os.environ.get("ESTIMATED_TASK_SECONDS", 60) + ), + "CLEANUP_INTERVAL_SECONDS": int( + os.environ.get("CLEANUP_INTERVAL_SECONDS", 3600) + ), # 1 hour + "MAX_AGENT_STEPS": int(os.environ.get("MAX_AGENT_STEPS", 10)), + # Browser arguments + "BROWSER_ARGS": [ + "--no-sandbox", + "--disable-gpu", + "--disable-software-rasterizer", + "--disable-dev-shm-usage", + "--remote-debugging-port=0", # Use random port to avoid conflicts + ], + # Patient mode - if true, functions wait for task completion before returning + "PATIENT_MODE": parse_bool_env("PATIENT", True), + # Streamable HTTP Server Settings (NEW) + "STREAMABLE_HTTP_PORT": int(os.environ.get("STREAMABLE_HTTP_PORT", 3000)), + "JSON_RESPONSE": parse_bool_env("JSON_RESPONSE", False), + "EVENT_STORE_MAX_EVENTS_PER_STREAM": int( + os.environ.get("EVENT_STORE_MAX_EVENTS_PER_STREAM", 1000) + ), + } + + return config + +CONFIG = init_configuration() diff --git a/server/custom_logging.py b/server/custom_logging.py new file mode 100644 index 0000000..bb5e3f8 --- /dev/null +++ b/server/custom_logging.py @@ -0,0 +1,59 @@ +import asyncio +import json +import logging +import sys +from datetime import datetime + +from pythonjsonlogger import jsonlogger + +JSON_FORMATTER = jsonlogger.JsonFormatter( + '{"time":"%(asctime)s","level":"%(levelname)s","name":"%(name)s","message":"%(message)s"}' +) + + +def setup_root_logger(): + """Configures the root logger and uvicorn loggers with JSON formatting.""" + logger = logging.getLogger() + + already_added = any( + isinstance(h, logging.StreamHandler) and h.formatter == JSON_FORMATTER + for h in logger.handlers + ) + + if not already_added: + handler = logging.StreamHandler(sys.stderr) + handler.setFormatter(JSON_FORMATTER) + logger.addHandler(handler) + + logger.setLevel(logging.INFO) + + + uvicorn_logger_names = ["uvicorn", "uvicorn.error", "uvicorn.access"] + for name in uvicorn_logger_names: + uvicorn_logger = logging.getLogger(name) + if not any( + isinstance(h, logging.StreamHandler) and h.formatter == JSON_FORMATTER + for h in uvicorn_logger.handlers + ): + uvicorn_handler = logging.StreamHandler(sys.stderr) + uvicorn_handler.setFormatter(JSON_FORMATTER) + uvicorn_logger.addHandler(uvicorn_handler) + uvicorn_logger.setLevel(logging.INFO) + uvicorn_logger.propagate = False + + +class TaskLogListHandler(logging.Handler): + def __init__(self, task_logs_list): + super().__init__() + self.task_logs_list = task_logs_list + + def emit(self, record): + log_entry = { + "level": record.levelname, + "name": record.name, + "message": self.format(record), + "timestamp": datetime.fromtimestamp(record.created).isoformat(), + } + self.task_logs_list.append(log_entry) + +setup_root_logger() diff --git a/server/event_store.py b/server/event_store.py new file mode 100644 index 0000000..135b17d --- /dev/null +++ b/server/event_store.py @@ -0,0 +1,139 @@ +""" +In-memory event store for demonstrating resumability functionality. + +This is a simple implementation intended for examples and testing, +not for production use where a persistent storage solution would be more appropriate. +""" + +import logging +from collections import deque +from dataclasses import dataclass +from uuid import uuid4 + +# Imports from the mcp library, assuming these types are provided by mcp[cli]>=1.9.0 +from mcp.server.streamable_http import ( + EventCallback, + EventId, + EventMessage, + EventStore, + StreamId, +) +from mcp.types import JSONRPCMessage + +logger = logging.getLogger(__name__) + + +@dataclass +class EventEntry: + """ + Represents an event entry in the event store. + """ + + event_id: EventId + stream_id: StreamId + message: JSONRPCMessage + + +class InMemoryEventStore(EventStore): + """ + Simple in-memory implementation of the EventStore interface for resumability. + This is primarily intended for examples and testing, not for production use + where a persistent storage solution would be more appropriate. + + This implementation keeps only the last N events per stream for memory efficiency. + """ + + def __init__(self, max_events_per_stream: int = 100): + """Initialize the event store. + + Args: + max_events_per_stream: Maximum number of events to keep per stream + """ + self.max_events_per_stream = max_events_per_stream + # for maintaining last N events per stream + self.streams: dict[StreamId, deque[EventEntry]] = {} + # event_id -> EventEntry for quick lookup + self.event_index: dict[EventId, EventEntry] = {} + logger.info( + f"InMemoryEventStore (custom implementation) initialized (max_events_per_stream={max_events_per_stream})" + ) + + async def store_event( + self, stream_id: StreamId, message: JSONRPCMessage + ) -> EventId: + """Stores an event with a generated event ID.""" + event_id = str(uuid4()) + event_entry = EventEntry( + event_id=event_id, stream_id=stream_id, message=message + ) + + if stream_id not in self.streams: + self.streams[stream_id] = deque(maxlen=self.max_events_per_stream) + + if len(self.streams[stream_id]) == self.max_events_per_stream: + oldest_event = self.streams[stream_id][0] + self.event_index.pop(oldest_event.event_id, None) + + # Add new event + self.streams[stream_id].append(event_entry) + self.event_index[event_id] = event_entry + logger.debug(f"Stored event {event_id} for stream {stream_id}") + return event_id + + async def replay_events_after( + self, + last_event_id: EventId, + send_callback: EventCallback, + ) -> StreamId | None: + """Replays events that occurred after the specified event ID.""" + if last_event_id not in self.event_index: + logger.warning(f"Event ID {last_event_id} not found in store for replay") + return None + + # Get the stream and find events after the last one + last_event = self.event_index[last_event_id] + stream_id = last_event.stream_id + stream_events = self.streams.get(last_event.stream_id, deque()) + + # Events in deque are already in chronological order + found_last = False + replayed_count = 0 + for event in stream_events: + if found_last: + await send_callback( + EventMessage(message=event.message, event_id=event.event_id) + ) + replayed_count += 1 + elif event.event_id == last_event_id: + found_last = True + + if found_last: + logger.info( + f"Replayed {replayed_count} events for stream {stream_id} after event {last_event_id}" + ) + else: + # This case should ideally not be hit if last_event_id was in event_index + # and belonged to this stream, unless the stream was cleared after event was indexed. + logger.warning( + f"Could not find event {last_event_id} in its own stream {stream_id} during replay scan, though it was indexed." + ) + + return stream_id + + # __aenter__ and __aexit__ for context manager protocol if EventStore requires it. + # The base EventStore from mcp.server.streamable_http might or might not require these. + # If it doesn't, these can be removed. If it does, they are here. + async def __aenter__(self) -> "InMemoryEventStore": + logger.debug("InMemoryEventStore context entered.") + return self + + async def __aexit__(self, exc_type, exc_val, exc_tb) -> None: + logger.debug("InMemoryEventStore context exited.") + # No specific async cleanup needed for in-memory dicts + pass + + # Note: The abstract EventStore class from mcp.server.streamable_http + # might define other abstract methods that need to be implemented. + # For example, a method to get all current streams, or to delete a stream. + # This implementation only includes store_event and replay_events_after. + # Add other methods as required by the EventStore base class from the mcp library. diff --git a/server/mcp_handlers.py b/server/mcp_handlers.py new file mode 100644 index 0000000..e0e06d0 --- /dev/null +++ b/server/mcp_handlers.py @@ -0,0 +1,218 @@ +import asyncio +import json +import logging +import traceback +import uuid +from datetime import datetime +from typing import Any, Dict, List, Optional, Union + +import mcp.types as types +from langchain_core.language_models import BaseLanguageModel +from mcp.server import Server +from mcp.server.streamable_http_manager import StreamableHTTPSessionManager + +from .browser import run_browser_task_async, task_store +from .config import CONFIG +from .event_store import InMemoryEventStore + +logger = logging.getLogger(__name__) + + +def create_mcp_server( + llm: BaseLanguageModel, + window_width: int, + window_height: int, + locale: str, +) -> Server: + """ + Create and configure an MCP server for browser interaction. + """ + app = Server("browser_use") + + # Event Store in place for resumability + event_store = InMemoryEventStore() + session_manager = StreamableHTTPSessionManager( + app=app, + event_store=event_store, + json_response=False, + ) + + @app.call_tool() + async def call_tool( + name: str, arguments: dict, request: Optional[Any] = None + ) -> List[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: + + # Get MCP context + ctx = app.request_context + if not ctx: + logger.error("MCP request context not found. Cannot send streamed updates.") + return [ + types.TextContent( + type="text", text=json.dumps({"error": "MCP context unavailable"}) + ) + ] + + if name == "browser_use": + if "url" not in arguments: + raise ValueError("Missing required argument 'url'") + if "action" not in arguments: + raise ValueError("Missing required argument 'action'") + + task_id = str(uuid.uuid4()) + task_store[task_id] = { + "id": task_id, + "status": "pending", + "url": arguments["url"], + "action": arguments["action"], + "created_at": datetime.now().isoformat(), + } + + # CDP info is expected to be part of the 'arguments' dictionary + cdp_target_id = arguments.get("cdp_target_id") + cdp_url = arguments.get("cdp_url") + + if cdp_target_id or cdp_url: + logger.info( + f"Using CDP info from tool arguments - Target ID: {cdp_target_id}, URL: {cdp_url}" + ) + else: + logger.warning( + "CDP info (cdp_target_id, cdp_url) not found in tool arguments. Will proceed without specific CDP target." + ) + + logger.info( + f"Final CDP parameters for run_browser_task_async - Target ID: {cdp_target_id}, URL: {cdp_url}" + ) + + _task = asyncio.create_task( + run_browser_task_async( + task_id=task_id, + url=arguments["url"], + action=arguments["action"], + llm=llm, + window_width=window_width, + window_height=window_height, + locale=locale, + cdp_target_id=cdp_target_id, + cdp_url=cdp_url, + ctx=ctx.session, + mcp_request_id=ctx.request_id, + event_loop=asyncio.get_event_loop(), + ) + ) + + if CONFIG["PATIENT_MODE"]: + try: + await _task + task_data = task_store[task_id] + if task_data["status"] == "failed": + logger.error( + f"Task {task_id} failed: {task_data.get('error', 'Unknown error')}" + ) + return [ + types.TextContent( + type="text", + text=json.dumps(task_data, indent=2), + ) + ] + except Exception as e: + logger.error(f"Error in patient mode execution: {str(e)}") + traceback_str = traceback.format_exc() + task_store[task_id]["status"] = "failed" + task_store[task_id]["error"] = str(e) + task_store[task_id]["traceback"] = traceback_str + task_store[task_id]["end_time"] = datetime.now().isoformat() + return [ + types.TextContent( + type="text", + text=json.dumps(task_store[task_id], indent=2), + ) + ] + else: + return [ + types.TextContent( + type="text", + text=json.dumps( + { + "task_id": task_id, + "status": "pending", + "message": "Browser task initiated. Logs and results will be streamed directly.", + "estimated_time": f"{CONFIG['DEFAULT_ESTIMATED_TASK_SECONDS']} seconds", + "resource_uri": f"resource://browser_task/{task_id}", + }, + indent=2, + ), + ) + ] + else: + raise ValueError(f"Unknown tool: {name}") + + @app.list_tools() + async def list_tools() -> List[types.Tool]: + patient_mode = CONFIG["PATIENT_MODE"] + tool_description = ( + "Performs a browser action. Logs and results are streamed. " + "In patient mode, this tool call will wait for completion and return the final result along with streamed updates." + if patient_mode + else "Performs a browser action. A task ID is returned, and logs and results are streamed asynchronously." + ) + return [ + types.Tool( + name="browser_use", + description=tool_description, + inputSchema={ + "type": "object", + "required": ["url", "action"], + "properties": { + "url": { + "type": "string", + "description": "URL to navigate to", + }, + "action": { + "type": "string", + "description": "Action to perform in the browser", + }, + }, + }, + ) + ] + + @app.list_resources() + async def list_resources() -> List[types.Resource]: + resources = [] + for task_id, task_data in task_store.items(): + if task_data["status"] in ["completed", "failed"]: + resources.append( + types.Resource( + uri=f"resource://browser_task/{task_id}", + title=f"Browser Task Result: {task_id[:8]}", + description=f"Result of browser task for URL: {task_data.get('url', 'unknown')}", + ) + ) + return resources + + @app.read_resource() + async def read_resource(uri: str) -> List[types.ResourceContents]: + if not uri.startswith("resource://browser_task/"): + return [ + types.ResourceContents( + type="text", + text=json.dumps( + {"error": f"Invalid resource URI: {uri}"}, indent=2 + ), + ) + ] + task_id = uri.replace("resource://browser_task/", "") + if task_id not in task_store: + return [ + types.ResourceContents( + type="text", + text=json.dumps({"error": f"Task not found: {task_id}"}, indent=2), + ) + ] + return [ + types.ResourceContents( + type="text", text=json.dumps(task_store[task_id], indent=2) + ) + ] + return app diff --git a/server/server.py b/server/server.py deleted file mode 100644 index 5ef695c..0000000 --- a/server/server.py +++ /dev/null @@ -1,941 +0,0 @@ -""" -Browser Use MCP Server - -This module implements an MCP (Model-Control-Protocol) server for browser automation -using the browser_use library. It provides functionality to interact with a browser instance -via an async task queue, allowing for long-running browser tasks to be executed asynchronously -while providing status updates and results. - -The server supports Server-Sent Events (SSE) for web-based interfaces. -""" - -# Standard library imports -import asyncio -import json -import logging -import os -import sys - -# Set up SSE transport -import threading -import time -import traceback -import uuid -from datetime import datetime -from typing import Any, Dict, Optional, Tuple, Union - -# Third-party imports -import click -import mcp.types as types -import uvicorn - -# Browser-use library imports -from browser_use import Agent -from browser_use.browser.browser import Browser, BrowserConfig -from browser_use.browser.context import BrowserContext, BrowserContextConfig -from dotenv import load_dotenv -from langchain_core.language_models import BaseLanguageModel - -# LLM provider -from langchain_openai import ChatOpenAI - -# MCP server components -from mcp.server import Server -from mcp.server.sse import SseServerTransport -from pythonjsonlogger import jsonlogger -from starlette.applications import Starlette -from starlette.routing import Mount, Route - -# Configure logging -logger = logging.getLogger() -logger.handlers = [] # Remove any existing handlers -handler = logging.StreamHandler(sys.stderr) -formatter = jsonlogger.JsonFormatter( - '{"time":"%(asctime)s","level":"%(levelname)s","name":"%(name)s","message":"%(message)s"}' -) -handler.setFormatter(formatter) -logger.addHandler(handler) -logger.setLevel(logging.INFO) - -# Ensure uvicorn also logs to stderr in JSON format -uvicorn_logger = logging.getLogger("uvicorn") -uvicorn_logger.handlers = [] -uvicorn_logger.addHandler(handler) - -# Ensure all other loggers use the same format -logging.getLogger("browser_use").addHandler(handler) -logging.getLogger("playwright").addHandler(handler) -logging.getLogger("mcp").addHandler(handler) - -# Load environment variables -load_dotenv() - - -def parse_bool_env(env_var: str, default: bool = False) -> bool: - """ - Parse a boolean environment variable. - - Args: - env_var: The environment variable name - default: Default value if not set - - Returns: - Boolean value of the environment variable - """ - value = os.environ.get(env_var) - if value is None: - return default - - # Consider various representations of boolean values - return value.lower() in ("true", "yes", "1", "y", "on") - - -def init_configuration() -> Dict[str, Any]: - """ - Initialize configuration from environment variables with defaults. - - Returns: - Dictionary containing all configuration parameters - """ - config = { - # Browser window settings - "DEFAULT_WINDOW_WIDTH": int(os.environ.get("BROWSER_WINDOW_WIDTH", 1280)), - "DEFAULT_WINDOW_HEIGHT": int(os.environ.get("BROWSER_WINDOW_HEIGHT", 1100)), - # Browser config settings - "DEFAULT_LOCALE": os.environ.get("BROWSER_LOCALE", "en-US"), - "DEFAULT_USER_AGENT": os.environ.get( - "BROWSER_USER_AGENT", - "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/85.0.4183.102 Safari/537.36", - ), - # Task settings - "DEFAULT_TASK_EXPIRY_MINUTES": int(os.environ.get("TASK_EXPIRY_MINUTES", 60)), - "DEFAULT_ESTIMATED_TASK_SECONDS": int( - os.environ.get("ESTIMATED_TASK_SECONDS", 60) - ), - "CLEANUP_INTERVAL_SECONDS": int( - os.environ.get("CLEANUP_INTERVAL_SECONDS", 3600) - ), # 1 hour - "MAX_AGENT_STEPS": int(os.environ.get("MAX_AGENT_STEPS", 10)), - # Browser arguments - "BROWSER_ARGS": [ - "--no-sandbox", - "--disable-gpu", - "--disable-software-rasterizer", - "--disable-dev-shm-usage", - "--remote-debugging-port=0", # Use random port to avoid conflicts - ], - # Patient mode - if true, functions wait for task completion before returning - "PATIENT_MODE": parse_bool_env("PATIENT", False), - } - - return config - - -# Initialize configuration -CONFIG = init_configuration() - -# Task storage for async operations -task_store: Dict[str, Dict[str, Any]] = {} - - -async def create_browser_context_for_task( - chrome_path: Optional[str] = None, - window_width: int = CONFIG["DEFAULT_WINDOW_WIDTH"], - window_height: int = CONFIG["DEFAULT_WINDOW_HEIGHT"], - locale: str = CONFIG["DEFAULT_LOCALE"], -) -> Tuple[Browser, BrowserContext]: - """ - Create a fresh browser and context for a task. - - This function creates an isolated browser instance and context - with proper configuration for a single task. - - Args: - chrome_path: Path to Chrome executable - window_width: Browser window width - window_height: Browser window height - locale: Browser locale - - Returns: - A tuple containing the browser instance and browser context - - Raises: - Exception: If browser or context creation fails - """ - try: - # Create browser configuration - browser_config = BrowserConfig( - extra_chromium_args=CONFIG["BROWSER_ARGS"], - ) - - # Set chrome path if provided - if chrome_path: - browser_config.chrome_instance_path = chrome_path - - # Create browser instance - browser = Browser(config=browser_config) - - # Create context configuration - context_config = BrowserContextConfig( - wait_for_network_idle_page_load_time=0.6, - maximum_wait_page_load_time=1.2, - minimum_wait_page_load_time=0.2, - browser_window_size={"width": window_width, "height": window_height}, - locale=locale, - user_agent=CONFIG["DEFAULT_USER_AGENT"], - highlight_elements=True, - viewport_expansion=0, - ) - - # Create context with the browser - context = BrowserContext(browser=browser, config=context_config) - - return browser, context - except Exception as e: - logger.error(f"Error creating browser context: {str(e)}") - raise - - -async def run_browser_task_async( - task_id: str, - url: str, - action: str, - llm: BaseLanguageModel, - window_width: int = CONFIG["DEFAULT_WINDOW_WIDTH"], - window_height: int = CONFIG["DEFAULT_WINDOW_HEIGHT"], - locale: str = CONFIG["DEFAULT_LOCALE"], -) -> None: - """ - Run a browser task asynchronously and store the result. - - This function executes a browser automation task with the given URL and action, - and updates the task store with progress and results. - - When PATIENT_MODE is enabled, the calling function will wait for this function - to complete before returning to the client. - - Args: - task_id: Unique identifier for the task - url: URL to navigate to - action: Action to perform after navigation - llm: Language model to use for browser agent - window_width: Browser window width - window_height: Browser window height - locale: Browser locale - """ - browser = None - context = None - - try: - # Update task status to running - task_store[task_id]["status"] = "running" - task_store[task_id]["start_time"] = datetime.now().isoformat() - task_store[task_id]["progress"] = { - "current_step": 0, - "total_steps": 0, - "steps": [], - } - - # Define step callback function with the correct signature - async def step_callback( - browser_state: Any, agent_output: Any, step_number: int - ) -> None: - # Update progress in task store - task_store[task_id]["progress"]["current_step"] = step_number - task_store[task_id]["progress"]["total_steps"] = max( - task_store[task_id]["progress"]["total_steps"], step_number - ) - - # Add step info with minimal details - step_info = {"step": step_number, "time": datetime.now().isoformat()} - - # Add goal if available - if agent_output and hasattr(agent_output, "current_state"): - if hasattr(agent_output.current_state, "next_goal"): - step_info["goal"] = agent_output.current_state.next_goal - - # Add to progress steps - task_store[task_id]["progress"]["steps"].append(step_info) - - # Log progress - logger.info(f"Task {task_id}: Step {step_number} completed") - - # Define done callback function with the correct signature - async def done_callback(history: Any) -> None: - # Log completion - logger.info(f"Task {task_id}: Completed with {len(history.history)} steps") - - # Add final step - current_step = task_store[task_id]["progress"]["current_step"] + 1 - task_store[task_id]["progress"]["steps"].append( - { - "step": current_step, - "time": datetime.now().isoformat(), - "status": "completed", - } - ) - - # Get Chrome path from environment if available - chrome_path = os.environ.get("CHROME_PATH") - - # Create a fresh browser and context for this task - browser, context = await create_browser_context_for_task( - chrome_path=chrome_path, - window_width=window_width, - window_height=window_height, - locale=locale, - ) - - # Create agent with the fresh context - agent = Agent( - task=f"First, navigate to {url}. Then, {action}", - llm=llm, - browser_context=context, - register_new_step_callback=step_callback, - register_done_callback=done_callback, - ) - - # Run the agent with a reasonable step limit - agent_result = await agent.run(max_steps=CONFIG["MAX_AGENT_STEPS"]) - - # Get the final result - final_result = agent_result.final_result() - - # Check if we have a valid result - if final_result and hasattr(final_result, "raise_for_status"): - final_result.raise_for_status() - result_text = str(final_result.text) - else: - result_text = ( - str(final_result) if final_result else "No final result available" - ) - - # Gather essential information from the agent history - is_successful = agent_result.is_successful() - has_errors = agent_result.has_errors() - errors = agent_result.errors() - urls_visited = agent_result.urls() - action_names = agent_result.action_names() - extracted_content = agent_result.extracted_content() - steps_taken = agent_result.number_of_steps() - - # Create a focused response with the most relevant information - response_data = { - "final_result": result_text, - "success": is_successful, - "has_errors": has_errors, - "errors": [str(err) for err in errors if err], - "urls_visited": [str(url) for url in urls_visited if url], - "actions_performed": action_names, - "extracted_content": extracted_content, - "steps_taken": steps_taken, - } - - # Store the result - task_store[task_id]["status"] = "completed" - task_store[task_id]["end_time"] = datetime.now().isoformat() - task_store[task_id]["result"] = response_data - - except Exception as e: - logger.error(f"Error in async browser task: {str(e)}") - tb = traceback.format_exc() - - # Store the error - task_store[task_id]["status"] = "failed" - task_store[task_id]["end_time"] = datetime.now().isoformat() - task_store[task_id]["error"] = str(e) - task_store[task_id]["traceback"] = tb - - finally: - # Clean up browser resources - try: - if context: - await context.close() - if browser: - await browser.close() - logger.info(f"Browser resources for task {task_id} cleaned up") - except Exception as e: - logger.error( - f"Error cleaning up browser resources for task {task_id}: {str(e)}" - ) - - -async def cleanup_old_tasks() -> None: - """ - Periodically clean up old completed tasks to prevent memory leaks. - - This function runs continuously in the background, removing tasks that have been - completed or failed for more than 1 hour to conserve memory. - """ - while True: - try: - # Sleep first to avoid cleaning up tasks too early - await asyncio.sleep(CONFIG["CLEANUP_INTERVAL_SECONDS"]) - - current_time = datetime.now() - tasks_to_remove = [] - - # Find completed tasks older than 1 hour - for task_id, task_data in task_store.items(): - if ( - task_data["status"] in ["completed", "failed"] - and "end_time" in task_data - ): - end_time = datetime.fromisoformat(task_data["end_time"]) - hours_elapsed = (current_time - end_time).total_seconds() / 3600 - - if hours_elapsed > 1: # Remove tasks older than 1 hour - tasks_to_remove.append(task_id) - - # Remove old tasks - for task_id in tasks_to_remove: - del task_store[task_id] - - if tasks_to_remove: - logger.info(f"Cleaned up {len(tasks_to_remove)} old tasks") - - except Exception as e: - logger.error(f"Error in task cleanup: {str(e)}") - - -def create_mcp_server( - llm: BaseLanguageModel, - task_expiry_minutes: int = CONFIG["DEFAULT_TASK_EXPIRY_MINUTES"], - window_width: int = CONFIG["DEFAULT_WINDOW_WIDTH"], - window_height: int = CONFIG["DEFAULT_WINDOW_HEIGHT"], - locale: str = CONFIG["DEFAULT_LOCALE"], -) -> Server: - """ - Create and configure an MCP server for browser interaction. - - Args: - llm: The language model to use for browser agent - task_expiry_minutes: Minutes after which tasks are considered expired - window_width: Browser window width - window_height: Browser window height - locale: Browser locale - - Returns: - Configured MCP server instance - """ - # Create MCP server instance - app = Server("browser_use") - - @app.call_tool() - async def call_tool( - name: str, arguments: dict - ) -> list[Union[types.TextContent, types.ImageContent, types.EmbeddedResource]]: - """ - Handle tool calls from the MCP client. - - Args: - name: The name of the tool to call - arguments: The arguments to pass to the tool - - Returns: - A list of content objects to return to the client. - When PATIENT_MODE is enabled, the browser_use tool will wait for the task to complete - and return the full result immediately instead of just the task ID. - - Raises: - ValueError: If required arguments are missing - """ - # Handle browser_use tool - if name == "browser_use": - # Check required arguments - if "url" not in arguments: - raise ValueError("Missing required argument 'url'") - if "action" not in arguments: - raise ValueError("Missing required argument 'action'") - - # Generate a task ID - task_id = str(uuid.uuid4()) - - # Initialize task in store - task_store[task_id] = { - "id": task_id, - "status": "pending", - "url": arguments["url"], - "action": arguments["action"], - "created_at": datetime.now().isoformat(), - } - - # Start task in background - _task = asyncio.create_task( - run_browser_task_async( - task_id=task_id, - url=arguments["url"], - action=arguments["action"], - llm=llm, - window_width=window_width, - window_height=window_height, - locale=locale, - ) - ) - - # If PATIENT is set, wait for the task to complete - if CONFIG["PATIENT_MODE"]: - try: - await _task - # Return the completed task result instead of just the ID - task_data = task_store[task_id] - if task_data["status"] == "failed": - logger.error( - f"Task {task_id} failed: {task_data.get('error', 'Unknown error')}" - ) - return [ - types.TextContent( - type="text", - text=json.dumps(task_data, indent=2), - ) - ] - except Exception as e: - logger.error(f"Error in patient mode execution: {str(e)}") - traceback_str = traceback.format_exc() - # Update task store with error - task_store[task_id]["status"] = "failed" - task_store[task_id]["error"] = str(e) - task_store[task_id]["traceback"] = traceback_str - task_store[task_id]["end_time"] = datetime.now().isoformat() - # Return error information - return [ - types.TextContent( - type="text", - text=json.dumps(task_store[task_id], indent=2), - ) - ] - - # Return task ID immediately with explicit sleep instruction - return [ - types.TextContent( - type="text", - text=json.dumps( - { - "task_id": task_id, - "status": "pending", - "message": f"Browser task started. Please wait for {CONFIG['DEFAULT_ESTIMATED_TASK_SECONDS']} seconds, then check the result using browser_get_result or the resource URI. Always wait exactly 5 seconds between status checks.", - "estimated_time": f"{CONFIG['DEFAULT_ESTIMATED_TASK_SECONDS']} seconds", - "resource_uri": f"resource://browser_task/{task_id}", - "sleep_command": "sleep 5", - "instruction": "Use the terminal command 'sleep 5' to wait 5 seconds between status checks. IMPORTANT: Always use exactly 5 seconds, no more and no less.", - }, - indent=2, - ), - ) - ] - - # Handle browser_get_result tool - elif name == "browser_get_result": - # Get result of async task - if "task_id" not in arguments: - raise ValueError("Missing required argument 'task_id'") - - task_id = arguments["task_id"] - - if task_id not in task_store: - return [ - types.TextContent( - type="text", - text=json.dumps( - {"error": "Task not found", "task_id": task_id}, indent=2 - ), - ) - ] - - # Get the current task data - task_data = task_store[task_id].copy() - - # If task is still running, add simple guidance - if task_data["status"] == "running": - # Add a simple next check suggestion - progress = task_data.get("progress", {}) - current_step = progress.get("current_step", 0) - - if current_step > 0: - # Simple message based on current step - task_data["message"] = ( - f"Task is running (step {current_step}). Wait 5 seconds before checking again." - ) - task_data["sleep_command"] = "sleep 5" - task_data["instruction"] = ( - "Use the terminal command 'sleep 5' to wait 5 seconds before checking again. IMPORTANT: Always use exactly 5 seconds, no more and no less." - ) - else: - task_data["message"] = ( - "Task is starting. Wait 5 seconds before checking again." - ) - task_data["sleep_command"] = "sleep 5" - task_data["instruction"] = ( - "Use the terminal command 'sleep 5' to wait 5 seconds before checking again. IMPORTANT: Always use exactly 5 seconds, no more and no less." - ) - - # Return current task status and result if available - return [ - types.TextContent(type="text", text=json.dumps(task_data, indent=2)) - ] - - else: - raise ValueError(f"Unknown tool: {name}") - - @app.list_tools() - async def list_tools() -> list[types.Tool]: - """ - List the available tools for the MCP client. - - Returns different tool descriptions based on the PATIENT_MODE configuration. - When PATIENT_MODE is enabled, the browser_use tool description indicates it returns - complete results directly. When disabled, it indicates async operation. - - Returns: - A list of tool definitions appropriate for the current configuration - """ - patient_mode = CONFIG["PATIENT_MODE"] - - if patient_mode: - return [ - types.Tool( - name="browser_use", - description="Performs a browser action and returns the complete result directly (patient mode active)", - inputSchema={ - "type": "object", - "required": ["url", "action"], - "properties": { - "url": { - "type": "string", - "description": "URL to navigate to", - }, - "action": { - "type": "string", - "description": "Action to perform in the browser", - }, - }, - }, - ), - types.Tool( - name="browser_get_result", - description="Gets the result of an asynchronous browser task (not needed in patient mode as browser_use returns complete results directly)", - inputSchema={ - "type": "object", - "required": ["task_id"], - "properties": { - "task_id": { - "type": "string", - "description": "ID of the task to get results for", - } - }, - }, - ), - ] - else: - return [ - types.Tool( - name="browser_use", - description="Performs a browser action and returns a task ID for async execution", - inputSchema={ - "type": "object", - "required": ["url", "action"], - "properties": { - "url": { - "type": "string", - "description": "URL to navigate to", - }, - "action": { - "type": "string", - "description": "Action to perform in the browser", - }, - }, - }, - ), - types.Tool( - name="browser_get_result", - description="Gets the result of an asynchronous browser task", - inputSchema={ - "type": "object", - "required": ["task_id"], - "properties": { - "task_id": { - "type": "string", - "description": "ID of the task to get results for", - } - }, - }, - ), - ] - - @app.list_resources() - async def list_resources() -> list[types.Resource]: - """ - List the available resources for the MCP client. - - Returns: - A list of resource definitions - """ - # List all completed tasks as resources - resources = [] - for task_id, task_data in task_store.items(): - if task_data["status"] in ["completed", "failed"]: - resources.append( - types.Resource( - uri=f"resource://browser_task/{task_id}", - title=f"Browser Task Result: {task_id[:8]}", - description=f"Result of browser task for URL: {task_data.get('url', 'unknown')}", - ) - ) - return resources - - @app.read_resource() - async def read_resource(uri: str) -> list[types.ResourceContents]: - """ - Read a resource for the MCP client. - - Args: - uri: The URI of the resource to read - - Returns: - The contents of the resource - """ - # Extract task ID from URI - if not uri.startswith("resource://browser_task/"): - return [ - types.ResourceContents( - type="text", - text=json.dumps( - {"error": f"Invalid resource URI: {uri}"}, indent=2 - ), - ) - ] - - task_id = uri.replace("resource://browser_task/", "") - if task_id not in task_store: - return [ - types.ResourceContents( - type="text", - text=json.dumps({"error": f"Task not found: {task_id}"}, indent=2), - ) - ] - - # Return task data - return [ - types.ResourceContents( - type="text", text=json.dumps(task_store[task_id], indent=2) - ) - ] - - # Add cleanup_old_tasks function to app for later scheduling - app.cleanup_old_tasks = cleanup_old_tasks - - return app - - -@click.command() -@click.option("--port", default=8000, help="Port to listen on for SSE") -@click.option( - "--proxy-port", - default=None, - type=int, - help="Port for the proxy to listen on. If specified, enables proxy mode.", -) -@click.option("--chrome-path", default=None, help="Path to Chrome executable") -@click.option( - "--window-width", - default=CONFIG["DEFAULT_WINDOW_WIDTH"], - help="Browser window width", -) -@click.option( - "--window-height", - default=CONFIG["DEFAULT_WINDOW_HEIGHT"], - help="Browser window height", -) -@click.option("--locale", default=CONFIG["DEFAULT_LOCALE"], help="Browser locale") -@click.option( - "--task-expiry-minutes", - default=CONFIG["DEFAULT_TASK_EXPIRY_MINUTES"], - help="Minutes after which tasks are considered expired", -) -@click.option( - "--stdio", - is_flag=True, - default=False, - help="Enable stdio mode. If specified, enables proxy mode.", -) -def main( - port: int, - proxy_port: Optional[int], - chrome_path: str, - window_width: int, - window_height: int, - locale: str, - task_expiry_minutes: int, - stdio: bool, -) -> int: - """ - Run the browser-use MCP server. - - This function initializes the MCP server and runs it with the SSE transport. - Each browser task will create its own isolated browser context. - - The server can run in two modes: - 1. Direct SSE mode (default): Just runs the SSE server - 2. Proxy mode (enabled by --stdio or --proxy-port): Runs both SSE server and mcp-proxy - - Args: - port: Port to listen on for SSE - proxy_port: Port for the proxy to listen on. If specified, enables proxy mode. - chrome_path: Path to Chrome executable - window_width: Browser window width - window_height: Browser window height - locale: Browser locale - task_expiry_minutes: Minutes after which tasks are considered expired - stdio: Enable stdio mode. If specified, enables proxy mode. - - Returns: - Exit code (0 for success) - """ - # Store Chrome path in environment variable if provided - if chrome_path: - os.environ["CHROME_PATH"] = chrome_path - logger.info(f"Using Chrome path: {chrome_path}") - else: - logger.info( - "No Chrome path specified, letting Playwright use its default browser" - ) - - # Initialize LLM - llm = ChatOpenAI(model="gpt-4o", temperature=0.0) - - # Create MCP server - app = create_mcp_server( - llm=llm, - task_expiry_minutes=task_expiry_minutes, - window_width=window_width, - window_height=window_height, - locale=locale, - ) - - sse = SseServerTransport("/messages/") - - # Create the Starlette app for SSE - async def handle_sse(request): - """Handle SSE connections from clients.""" - try: - async with sse.connect_sse( - request.scope, request.receive, request._send - ) as streams: - await app.run( - streams[0], streams[1], app.create_initialization_options() - ) - except Exception as e: - logger.error(f"Error in handle_sse: {str(e)}") - raise - - starlette_app = Starlette( - debug=True, - routes=[ - Route("/sse", endpoint=handle_sse), - Mount("/messages/", app=sse.handle_post_message), - ], - ) - - # Add startup event - @starlette_app.on_event("startup") - async def startup_event(): - """Initialize the server on startup.""" - logger.info("Starting MCP server...") - - # Sanity checks for critical configuration - if port <= 0 or port > 65535: - logger.error(f"Invalid port number: {port}") - raise ValueError(f"Invalid port number: {port}") - - if window_width <= 0 or window_height <= 0: - logger.error(f"Invalid window dimensions: {window_width}x{window_height}") - raise ValueError( - f"Invalid window dimensions: {window_width}x{window_height}" - ) - - if task_expiry_minutes <= 0: - logger.error(f"Invalid task expiry minutes: {task_expiry_minutes}") - raise ValueError(f"Invalid task expiry minutes: {task_expiry_minutes}") - - # Start background task cleanup - asyncio.create_task(app.cleanup_old_tasks()) - logger.info("Task cleanup process scheduled") - - # Function to run uvicorn in a separate thread - def run_uvicorn(): - # Configure uvicorn to use JSON logging - log_config = { - "version": 1, - "disable_existing_loggers": False, - "formatters": { - "json": { - "()": "pythonjsonlogger.jsonlogger.JsonFormatter", - "fmt": '{"time":"%(asctime)s","level":"%(levelname)s","name":"%(name)s","message":"%(message)s"}', - } - }, - "handlers": { - "default": { - "formatter": "json", - "class": "logging.StreamHandler", - "stream": "ext://sys.stderr", - } - }, - "loggers": { - "": {"handlers": ["default"], "level": "INFO"}, - "uvicorn": {"handlers": ["default"], "level": "INFO"}, - "uvicorn.error": {"handlers": ["default"], "level": "INFO"}, - "uvicorn.access": {"handlers": ["default"], "level": "INFO"}, - }, - } - - uvicorn.run( - starlette_app, - host="0.0.0.0", # nosec - port=port, - log_config=log_config, - log_level="info", - ) - - # If proxy mode is enabled, run both the SSE server and mcp-proxy - if stdio: - import subprocess # nosec - - # Start the SSE server in a separate thread - sse_thread = threading.Thread(target=run_uvicorn) - sse_thread.daemon = True - sse_thread.start() - - # Give the SSE server a moment to start - time.sleep(1) - - proxy_cmd = [ - "mcp-proxy", - f"http://localhost:{port}/sse", - "--sse-port", - str(proxy_port), - "--allow-origin", - "*", - ] - - logger.info(f"Running proxy command: {' '.join(proxy_cmd)}") - logger.info( - f"SSE server running on port {port}, proxy running on port {proxy_port}" - ) - - try: - # Using trusted command arguments from CLI parameters - with subprocess.Popen(proxy_cmd) as proxy_process: # nosec - proxy_process.wait() - except Exception as e: - logger.error(f"Error starting mcp-proxy: {str(e)}") - logger.error(f"Command was: {' '.join(proxy_cmd)}") - return 1 - else: - logger.info(f"Running in direct SSE mode on port {port}") - run_uvicorn() - - return 0 - - -if __name__ == "__main__": - main() diff --git a/server/web_setup.py b/server/web_setup.py new file mode 100644 index 0000000..64b78c4 --- /dev/null +++ b/server/web_setup.py @@ -0,0 +1,139 @@ +import asyncio +import contextlib +import logging +from collections.abc import AsyncIterator +from typing import Optional + +import uvicorn +from mcp.server import Server as MCPCoreServer +from mcp.server.streamable_http_manager import StreamableHTTPSessionManager +from starlette.applications import Starlette +from starlette.routing import Mount, Route +from starlette.types import Receive, Scope, Send + +# Imports from our refactored modules +from .browser import cleanup_old_tasks +from .config import CONFIG +from .custom_logging import TaskLogListHandler +from .event_store import InMemoryEventStore + +logger = logging.getLogger(__name__) + + +def create_starlette_app(mcp_app: MCPCoreServer) -> Starlette: + """Creates and configures the Starlette application for Streamable HTTP MCP.""" + + event_store = InMemoryEventStore( + max_events_per_stream=CONFIG["EVENT_STORE_MAX_EVENTS_PER_STREAM"] + ) + streamable_http_session_manager = StreamableHTTPSessionManager( + app=mcp_app, + event_store=event_store, + json_response=CONFIG["JSON_RESPONSE"], + ) + + async def handle_streamable_http_request( + scope: Scope, receive: Receive, send: Send + ) -> None: + """ASGI handler for streamable HTTP connections using StreamableHTTPSessionManager.""" + await streamable_http_session_manager.handle_request(scope, receive, send) + + @contextlib.asynccontextmanager + async def lifespan_manager(app_instance: Starlette) -> AsyncIterator[None]: + logger.info("Application lifespan startup sequence initiated...") + # Validate essential configurations from CONFIG + port = CONFIG.get("PORT", 8000) + window_width = CONFIG["DEFAULT_WINDOW_WIDTH"] + window_height = CONFIG["DEFAULT_WINDOW_HEIGHT"] + task_expiry_minutes = CONFIG["DEFAULT_TASK_EXPIRY_MINUTES"] + + if not (0 < port <= 65535): + logger.error(f"Invalid port number: {port}") + raise ValueError(f"Invalid port number: {port}") + if window_width <= 0 or window_height <= 0: + logger.error(f"Invalid window dimensions: {window_width}x{window_height}") + raise ValueError( + f"Invalid window dimensions: {window_width}x{window_height}" + ) + if task_expiry_minutes <= 0: + logger.error(f"Invalid task expiry minutes: {task_expiry_minutes}") + raise ValueError(f"Invalid task expiry minutes: {task_expiry_minutes}") + + # Schedule the background task for cleaning up old tasks + cleanup_task = asyncio.create_task(cleanup_old_tasks()) + logger.info("Task cleanup process scheduled.") + + # Run the StreamableHTTPSessionManager + async with streamable_http_session_manager.run(): + logger.info("StreamableHTTPSessionManager started.") + try: + yield # Application is running + finally: + logger.info("Application shutting down...") + # Cancel background tasks if they are still running + if not cleanup_task.done(): + cleanup_task.cancel() + try: + await cleanup_task + except asyncio.CancelledError: + logger.info("Task cleanup process cancelled successfully.") + logger.info( + "StreamableHTTPSessionManager and other resources shut down." + ) + + starlette_app = Starlette( + debug=True, + routes=[ + Mount("/mcp_streamable", app=handle_streamable_http_request), + ], + lifespan=lifespan_manager, + ) + + return starlette_app + + +def run_server(starlette_app: Starlette, port: int, log_config: Optional[dict] = None): + """Runs the Uvicorn server with the provided Starlette app.""" + # Default log_config for JSON logging if not provided + # This replicates the JSON logging setup previously in server.py's main/run_uvicorn + # The custom_logging.py module already configures root and uvicorn loggers. + # Uvicorn's own log_config might override or supplement this. + # For simplicity, we'll rely on the setup in custom_logging.py and uvicorn's default behavior + # unless a specific uvicorn log_config is passed. + + # The log_config for uvicorn.run should ideally align with what custom_logging.py sets up. + # If custom_logging.JSON_FORMATTER is used, uvicorn needs to be told to use it. + # The setup_root_logger in custom_logging.py already adds a JSONFormatted StreamHandler to uvicorn loggers. + # So, passing a log_config here might be redundant or cause conflicts if not carefully managed. + # Let's ensure uvicorn uses the handlers set up by custom_logging. + # We can pass `log_config=None` to uvicorn.run if our custom_logging.py sufficiently configures uvicorn loggers. + # Or, construct a uvicorn-specific log_config that uses the shared JSON_FORMATTER. + + final_log_config = log_config + if final_log_config is None: + # This ensures uvicorn uses the handlers we configured in custom_logging.py + # by not overriding them with its own default textual format. We tell it to use our existing handlers. + final_log_config = { + "version": 1, + "disable_existing_loggers": False, # Crucial to not disable our custom JSON loggers + "handlers": {}, + "loggers": { + "uvicorn": { + "handlers": [], + "level": "INFO", + "propagate": False, + }, # Already handled by custom_logging + "uvicorn.error": {"handlers": [], "level": "INFO", "propagate": False}, + "uvicorn.access": {"handlers": [], "level": "INFO", "propagate": False}, + }, + } + # If relying purely on custom_logging.py, you might even pass log_config=None to uvicorn, + # but explicitly defining it like above to *not* use uvicorn's default stream handlers is safer. + + uvicorn.run( + starlette_app, + host="0.0.0.0", + port=port, + log_config=final_log_config, # Use the potentially modified log_config + log_level="info", # This sets the level for uvicorn's own log messages if not specified in log_config + ) diff --git a/uv.lock b/uv.lock index b6c267e..b5825ca 100644 --- a/uv.lock +++ b/uv.lock @@ 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