
Langchain Mcp
This server gives Claude semantic search across the entire LangChain ecosystem through four tools: search_docs for documentation and tutorials, plus search_langchain_code, search_langgraph_code, and search_deepagents_code for finding implementation examples in Python and JavaScript repositories. It's powered by ChromaDB and OpenRouter embeddings, requiring Google OAuth to access the hosted API with usage credits. Reach for this when you're building with LangChain and need to quickly surface relevant code patterns or API references without context switching to docs. The project also includes self-hosting instructions if you want to run your own embedding pipeline locally, ingesting from the official repos and serving through your own API endpoint.
- GitHub stars
- 5
- tools
- 4
- transport
- STDIO
- last updated
- Jan 8, 2026
Tools
4 toolsPublic tool metadata for what this MCP can expose to an agent.
search_docsSearch documentation, references, and tutorials
Search documentation, references, and tutorials
No parameter schema in public metadata yet.
search_langchain_codeSearch LangChain source code
Search LangChain source code
No parameter schema in public metadata yet.
search_langgraph_codeSearch LangGraph source code
Search LangGraph source code
No parameter schema in public metadata yet.
search_deepagents_codeSearch DeepAgents source code
Search DeepAgents source code
No parameter schema in public metadata yet.
Sponsors
Readme
LangChain MCP
Give your AI assistant complete knowledge of LangChain, LangGraph & LangSmith
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.
LangChain MCP HomepageFeatures
Details
- Repository
- github.com/baixianger/langchain-mcp
- Categories
- AI & LLM Tools, Documents & Knowledge
- Package
langchain-mcp- Transport
- STDIO
- Registry
- MCP registry, active