MCP 工具集 | MCP-Tools-Collection

A collection of MCP (Model Context Protocol) servers.

Multiple Model Context Protocol server implementations and agent rules for building tool-connected AI apps.

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MCP-Tools-Collection is a collection of Model Context Protocol (MCP) server implementations, plus curated agent rules for building tool-connected AI applications.

Note

中文项目：多种 MCP（模型上下文协议）服务器实现——构建可接入 AI 智能体的工具生态。

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Quickstart

git clone https://github.com/Windyhhh/MCP-Tools-Collection.git
cd MCP-Tools-Collection

# Explore the bundled agent rules
ls agent-rules-main/docs/

# follow the MCP best-practices docs to build your own server

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Features

• MCP servers — multiple implementations.
• Agent rules — MCP best practices, releasing, and app-kit guidance.
• AI tool ecosystem — connect models to external tools.

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Project Structure

MCP-Tools-Collection/
├── agent-rules-main/          # MCP + agent best-practices docs (mcp-best-practices, mcp-releasing, ...)
└── README.md

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技术实现细节

架构概览

项目采用模块化设计，核心目录包括：agent-rules-main, mcp-feedback-enhanced-main。

核心类与模块

• WebUIManager

关键函数

• preload_i18n, init_encoding, is_wsl_environment, is_remote_environment

技术栈与依赖

核心框架/库：FastAPI

主要 import：

import asyncio
import concurrent.futures
import os
import threading
import time
import uuid
from datetime import datetime
from pathlib import Path
from typing import Any
import uvicorn

实现要点

• 以 WebUIManager 为核心类，封装主要业务逻辑
• 通过 preload_i18n 等函数实现核心流程编排
• 基于 FastAPI 构建，技术栈成熟稳定
• 代码结构清晰，模块间低耦合，便于扩展和维护

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License

MIT — free to use, modify and distribute.