** THIS REPO HAS MOVED TO https://github.com/langchain-ai/langchainjs/tree/main/libs/langchain-mcp-adapters ** Adapters for integrating Model Context Protocol (MCP) tools with LangChain.js applications, supporting both stdio and SSE transports.

Structured Data Extractor for AI Agents. Search your documents or the web for specific data and get it back in JSON or Markdown in a single tool call.

🔬 Industrial-grade static analysis for all popular programming languages. Catch 1000+ bug patterns before production

Explore the must-have external ready-made toolkits to integrate with your AI agents built with Python and TypeScript

A framework for building agent workflows

solana mcp sever to enable solana rpc methods

Local RAG as a simple CLI, for standalone use or as a gptme tool

DevContext is a cutting-edge Model Context Protocol (MCP) server designed to provide developers with continuous, project-centric context awareness. Unlike traditional context systems, DevContext continuously learns from and adapts to your development patterns and delivers highly relevant context providing a deeper understanding of your codebase.

Make your agent powerful in just 2 more lines of code

Let AI agents like ChatGPT & Claude use real-world local/remote tools you approve via browser extension + optional MCP server

Python library for integrating the Alation API into agentic workflows

Multi-Agent LLM System for Digital Scam Protection

CLI-first MCP server for composer-based Kirby CMS projects — inspect blueprints/templates/plugins, interact with a real Kirby runtime, and use a bundled Kirby knowledge base.

Autonomous research agents for Claude Code - passively research and inject helpful context

🛡️ Safe AI Agents through Action Classifier

🧰 Tool Search Engine for Efficient Tool Use in AI Agents

QueryPilot is an advanced document intelligence platform that combines Large Language Models (LLMs) with vector embeddings to enable natural language querying of your documents. The application processes various file formats (PDFs, DOCXs, TXT files, and images), extracting and embedding content for semantic search and AI-powered analysis.

The llm_to_mcp_integration_engine is a communication layer designed to enhance the reliability of interactions between LLMs and tools (like MCP servers or functions).

Run compute tasks wherever they run best - local, threaded, or remote - with a pluggable backend architecture.

Unified MCP Gateway Platform, Marketplace & Custom MCPs