What do you want to do?
3 use cases
-
Build an MCP server and test it in the Inspector
Write a two-function server with the official SDK and try its tools in the MCP Inspector.
View prompt
Using modelcontextprotocol/python-sdk, create a server.py that exposes <tools> and a resource for <data>. Open it with `uv run mcp dev server.py` and show me each tool working in the Inspector.
-
Serve an MCP server over HTTP and call it from Python
Run your server with Streamable HTTP and connect the SDK's Client to it with a URL.
View prompt
Using modelcontextprotocol/python-sdk, serve my server.py with `uv run mcp run server.py --transport streamable-http` and write a Python client that calls <tool> with <arguments> and prints the structured result.
-
Try MCP commands without setting up a project
Use uv to run the mcp CLI one-off, so you can test a server file without adding the SDK to a project.
View prompt
Without creating a project, use the modelcontextprotocol/python-sdk CLI through `uv run --with "mcp[cli]" mcp ...` to open <server file> in the MCP Inspector and list what it exposes.
Quick start with Python SDK
- Check you have what it needs: Python 3.11 or later; uv or pip; The cli extra for the mcp command-line tool.
- Open modelcontextprotocol/python-sdk on GitHub and read the README and license.
- Install with
uv add "mcp[cli]" - Create server.py with an MCPServer, an add tool and a greeting resource, as in the README
- Open it in the Inspector with
uv run mcp dev server.py - Call add with a=1 and b=2 and check you get 3 back
These steps come from our top use case, Build an MCP server and test it in the Inspector, which also has a copy-paste agent prompt.
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Get them freeAbout this repo
- Who it is forPython developers who want to build against the official MCP reference implementation.
- Why it is hot25k stars, talked about in 2 AI sources we track
- LanguagePython
- Sourcegithub.com/modelcontextprotocol/python-sdk ยท Back to Hot repos
Requirements
- Python 3.11 or later
- uv or pip
- The cli extra for the mcp command-line tool
- Optional: the MCP Inspector, which mcp dev opens
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Questions about Python SDK
What is Python SDK?
The MCP Python SDK is the official Python implementation of the Model Context Protocol. It builds MCP servers that expose tools, resources and prompts to any MCP host and MCP clients that connect to any server, over stdio, Streamable HTTP and SSE. Type hints become the schema, and the optional cli extra adds the mcp command with mcp dev, mcp run and mcp install. It is an open-source project on GitHub: https://github.com/modelcontextprotocol/python-sdk.
How do I use Python SDK?
Install with uv add "mcp[cli]"; then create server.py with an MCPServer, an add tool and a greeting resource, as in the README; open it in the Inspector with uv run mcp dev server.py. The use cases on this page give the full steps and a copy-paste agent prompt for each job.
Who is Python SDK for?
Python developers who want to build against the official MCP reference implementation.
What can I do with Python SDK?
3 use cases so far, for example: Build an MCP server and test it in the Inspector; Serve an MCP server over HTTP and call it from Python; Try MCP commands without setting up a project. Each has steps and a copy-paste agent prompt.
What do I need to run Python SDK?
Python 3.11 or later; uv or pip; The cli extra for the mcp command-line tool; Optional: the MCP Inspector, which mcp dev opens.
What are alternatives to Python SDK?
Other hot AI repos in Software and DevOps: Deep Infer, Thinkrail, ECC, Instructor, Aider.
Is Python SDK safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.