MCP with Langchain Sample Setup

What is MCP with Langchain Sample Setup?

MCP with Langchain Sample Setup is a demonstration project that implements the Model Context Protocol (MCP) with Langchain. It includes three sample MCP servers (math, weather, and which_llm_to_use), each exposing one or two functions, and a Streamlit-based MCP client that bridges users with those servers. It is intended for developers exploring MCP and Langchain integration.

How to use MCP with Langchain Sample Setup?

Start each of the three MCP servers in the mcp_servers folder on ports 8000, 8001, and 8002 (e.g., nohup python math_mcp_server.py > math.log 2>&1 &). Then export your OpenAI API key and launch the Streamlit client with streamlit run my_chat_bot_app.py. The web UI will be available on port 8501.

Key features of MCP with Langchain Sample Setup

• Three sample MCP servers: math, weather, and which_llm_to_use
• Each server provides one or two functions
• Streamlit-based web UI as the MCP client
• Bridges user requests to multiple MCP servers
• Demonstrates MCP integration with Langchain and OpenAI

Use cases of MCP with Langchain Sample Setup

• Learning how to set up and run multiple MCP servers concurrently
• Testing interactions between a chat interface and math, weather, or LLM-selection tools
• Prototyping applications that combine several MCP services under a single client