langchain-mcp-server

Overview

The LangChain Documentation MCP Server is a comprehensive dual-mode solution that provides real-time access to LangChain documentation, API references, and code examples. It supports both FastAPI web service and native MCP server modes, fetching live data from official LangChain sources including python.langchain.com, GitHub repository, and PyPI. The server offers various tools for searching documentation, retrieving API references, fetching GitHub code examples, discovering tutorials, and getting version information.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

• search_langchain_docs

  Search LangChain documentation

  Try:Search for ChatOpenAI documentationTry:Find information about embeddings
• search_api_reference

  Search API reference specifically

  Try:Search API reference for embeddingsTry:Find information about LLMChain
• get_api_reference

  Get detailed API reference for a class

  Try:Get API reference for ChatOpenAITry:Show me details about LLMChain
• get_github_examples

  Get code examples from GitHub

  Try:Get chatbot examples from GitHubTry:Show me examples of RAG systems
• get_tutorials

  Get available tutorials

  Try:List all available tutorialsTry:Find tutorials for beginners
• get_latest_version

  Get latest LangChain version

  Try:What's the latest version of LangChain?Try:Check if I have the most recent version

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Installation

git clone https://github.com/LiteObject/langchain-mcp-server.git
cd langchain-mcp-server
docker-compose up --build

pip install -r requirements.txt
python run.py mcp

{
  "mcpServers": {
    "langchain-docs": {
      "command": "python",
      "args": ["path/to/langchain-mcp-server/run.py", "mcp"],
      "env": {
        "PYTHONPATH": "path/to/langchain-mcp-server"
      }
    }
  }
}

FAQ

What data sources does this server use?

The server fetches live data from python.langchain.com (official documentation), the GitHub LangChain Repository (source code and examples), and PyPI (version information).

Can I run this server in production?

Yes, but consider adding caching, rate limiting, monitoring, and possibly a database for production use. The server requires internet connectivity to fetch data from external sources.

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