io.github.baixianger/langchain-mcp

Registre officiel Outils de développement

LangChain/LangGraph/DeepAgents knowledge + LangGraph agent debugging (Polly-like)

Que pouvez-vous faire avec io.github.baixianger/langchain-mcp ?

  • Semantic Search - Natural language queries across all LangChain ecosystem docs
  • Source Code Search - Find code examples in Python and JavaScript repositories
  • MCP Protocol - Works seamlessly with Claude Code, Claude Desktop, Cursor, and any MCP-compatible client
  • Production Ready - Scalable API with authentication and usage tracking
  • Fast & Accurate - Powered by ChromaDB and OpenRouter embeddings

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

NPM package langchain-mcp
Claude Code
claude mcp add langchain-mcp -- npx -y langchain-mcp@2.0.0
Configuration JSON (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "langchain-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "langchain-mcp@2.0.0"
            ]
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. LangChain MCP
  2. Overview
  3. Features
  4. Installation
  5. Usage
  6. Pricing
  7. Documentation
  8. Deployment
  9. Roadmap
  10. Contributing
  11. Support
  12. License

LangChain MCP

Give your AI assistant complete knowledge of LangChain, LangGraph & LangSmith

Website • Installation • Features • Documentation


Overview

LangChain MCP is a Model Context Protocol (MCP) server that provides semantic search across the entire LangChain ecosystem. Build AI applications faster with instant access to documentation and source code for LangChain, LangGraph, LangSmith, and DeepAgents.

Features

  • Semantic Search - Natural language queries across all LangChain ecosystem docs
  • Source Code Search - Find code examples in Python and JavaScript repositories
  • MCP Protocol - Works seamlessly with Claude Code, Claude Desktop, Cursor, and any MCP-compatible client
  • Production Ready - Scalable API with authentication and usage tracking
  • Fast & Accurate - Powered by ChromaDB and OpenRouter embeddings

Installation

# Install globally
npm install -g langchain-mcp

# Login with Google
langchain-mcp login

# Add to Claude Code
claude mcp add langchain-mcp -- npx langchain-mcp
Manual Configuration

Add the following configuration to your client's config file:

Claude Desktop

  • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%\Claude\claude_desktop_config.json

Cursor

  • macOS/Linux: ~/.cursor/mcp.json
  • Windows: %USERPROFILE%\.cursor\mcp.json
{
  "mcpServers": {
    "langchain-mcp": {
      "command": "npx",
      "args": ["langchain-mcp"]
    }
  }
}

Usage

CLI Commands
langchain-mcp login      # Login via Google OAuth
langchain-mcp status     # Check usage and remaining credits
langchain-mcp logout     # Logout and clear credentials
Available MCP Tools
ToolDescriptionParameters
search_docsSearch documentation, references, and tutorialsquery, limit (default: 5)
search_langchain_codeSearch LangChain source codequery, language (py/js), limit
search_langgraph_codeSearch LangGraph source codequery, language (py/js), limit
search_deepagents_codeSearch DeepAgents source codequery, language (py/js), limit

Pricing

  • Free tier available for new users
  • Donation bonus for supporters

Documentation

Self-deploy
Project Structure
langchain-MCP/
├── packages/
│   ├── ingest/              # Python - Data ingestion (uv)
│   ├── api/                 # TypeScript - API server (Express)
│   ├── mcp-server/          # TypeScript - MCP client (npm package)
│   └── mcp-server-local/    # TypeScript - Local MCP server (dev)
├── config/
│   └── settings.json        # Shared configuration
└── deploy.sh                # Deployment script
Architecture
Setup Development Environment

1. Ingest Documentation & Source Code

cd packages/ingest
uv sync
uv run ingest --list     # List available repositories
uv run ingest docs       # Ingest documentation only
uv run ingest            # Ingest all (docs + code)

2. Run API Server

cd packages/api
npm install
npm run dev              # Development server on port 3000

3. Test Local MCP Server

cd packages/mcp-server-local
npm install
npm run dev
Configuration

All settings in config/settings.json:

{
  "embedding": {
    "provider": "openrouter",
    "model": "qwen/qwen3-embedding-8b"
  },
  "chromadb": {
    "path": "./data/chroma"
  },
  "chunking": {
    "docs": { "chunk_size": 2000, "chunk_overlap": 200 },
    "code": { "chunk_size": 4000, "chunk_overlap": 200 }
  },
  "repos": [
    {
      "name": "langchain",
      "url": "https://github.com/langchain-ai/langchain",
      "type": "code",
      "languages": ["python", "javascript"]
    }
  ]
}
Supported Embedding Providers
  • sentence-transformer (local)
  • openai
  • cohere
  • google
  • ollama
  • openrouter (default)

See ChromaDB Integrations for more options.

Deployment

The project includes automated deployment scripts for VPS hosting:

# Manual deployment
./deploy.sh

# GitHub Actions (production branch)
git push origin main:production

Deployment includes:

  • Code synchronization via rsync
  • Automatic npm installation and build
  • PM2 process management
  • Nginx static file serving
  • Environment variable management

Roadmap

  • [x] Semantic search across docs and code
  • [x] Google OAuth authentication
  • [x] Usage tracking and credits system
  • [x] MCP registry registration
  • [x] Claude Code, Desktop, and Cursor support
  • [ ] Rate limiting (per user / per IP)
  • [ ] Additional embedding model options
  • [ ] Local mode (no API key required)
  • [ ] Browser extension for quick searches
  • [ ] VSCode extension integration

Contributing

Forking and contributions are welcome!

Support

License

MIT License - see the LICENSE file for details.


Built with ❤️ by baixianger

Website • GitHub • npm

Questions fréquentes

Qu'est-ce que io.github.baixianger/langchain-mcp ?

LangChain/LangGraph/DeepAgents knowledge + LangGraph agent debugging (Polly-like)

Comment installer io.github.baixianger/langchain-mcp ?

Il s'exécute sur votre machine. Dans Claude Code : claude mcp add langchain-mcp -- npx -y langchain-mcp@2.0.0. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour io.github.baixianger/langchain-mcp ?

Son entrée au registre n'indique aucune clé ni secret obligatoire. Certaines fonctions peuvent tout de même demander un compte auprès du service auquel il se connecte.

io.github.baixianger/langchain-mcp est-il open source ?

Son code est public sur GitHub, mais le dépôt ne déclare pas de licence standard.

Qui maintient io.github.baixianger/langchain-mcp ?

Il est publié par baixianger. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.