MCP Langchain Server

What is Mcp Langchain Server?

Mcp Langchain Server is a Flask API that accepts MCP-style { action, params } requests and routes them to a local LLM (via Ollama) for answers. It uses LangChain to interpret actions and run completely free and locally.

How to use Mcp Langchain Server?

Install dependencies (pip install langchain-community langchain langchain-core langchainhub ollama), run python app.py, then send POST requests with { action, params } to the Flask endpoint. Test with Postman and add new functions to mcp_agent.py.

Key features of Mcp Langchain Server

• Runs entirely free and locally with Ollama
• Accepts MCP-style { action, params } via Flask API
• Uses LangChain to interpret and route actions
• Supports models like gemma:2b, mistral, llama3
• Low RAM requirements starting at ~2–3 GB
• Easily extendable with custom functions

Use cases of Mcp Langchain Server

• Build a private, offline AI assistant using local LLMs
• Test and prototype MCP-style action routing
• Integrate with a frontend for local AI chat
• Add RAG to fetch live news and summarize locally
• Experiment with different Ollama models for various tasks