About simple_mcp_server_with_langgraph
simple_mcp_server_with_langgraph is a Python 3.11 project combining MCP and Langgraph, with examples covering a server-client setup, multiple MCP servers, and ChatGPT-style projects. It is intended as a simple coding project for exploring these patterns.
Key features
- 01MCP server and client example
- 02Example using multiple MCP servers
- 03Streamlit-based ChatGPT-style project
- 04ChatGPT-style project without Streamlit
Use cases
- 01Explore a basic MCP server-client setup
- 02Run a client with multiple MCP servers
- 03Study ChatGPT-style projects using MCP
MCP support
The project includes MCP server-client examples and ChatGPT-style projects using MCP; one example connects a client to multiple MCP servers.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEsimple_mcp_server_with_langgraph
Simple MCP server with Langgraph.
Python version = 3.11
Simple_server_client
You should run only client.py
multiple_mcp_servers
You shuold run weather_server.py and client.py
langgraph_chatgpt
simple chatgpt clone coding project with streamlit + mcp
langgraph_chatgpt_mcp
simple chatgpt clone coding project without streamlit + mcp
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.