Python Mcp Server
What is Python Mcp Server
python-mcp-server is a minimal template for creating a Model Context Protocol (MCP) server using the Python SDK. It provides a foundational structure for developers to build their own MCP servers efficiently.
Use cases
Use cases for python-mcp-server include building custom MCP servers for applications that need to manage and utilize contextual data, creating prototypes for research purposes, and developing tools that integrate with the Model Context Protocol.
How to use
To use python-mcp-server, set up your Python environment by installing dependencies with ‘uv sync’ and activating the virtual environment. You can run the server using Visual Studio Code or directly via command line with ‘python server/main.py’.
Key features
Key features of python-mcp-server include support for Python 3.13+, easy setup with uv for package management, and compatibility with Visual Studio Code for development and debugging.
Where to use
python-mcp-server can be used in various fields where model context management is essential, such as data science, machine learning, and application development that requires context-aware functionalities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Python Mcp Server
python-mcp-server is a minimal template for creating a Model Context Protocol (MCP) server using the Python SDK. It provides a foundational structure for developers to build their own MCP servers efficiently.
Use cases
Use cases for python-mcp-server include building custom MCP servers for applications that need to manage and utilize contextual data, creating prototypes for research purposes, and developing tools that integrate with the Model Context Protocol.
How to use
To use python-mcp-server, set up your Python environment by installing dependencies with ‘uv sync’ and activating the virtual environment. You can run the server using Visual Studio Code or directly via command line with ‘python server/main.py’.
Key features
Key features of python-mcp-server include support for Python 3.13+, easy setup with uv for package management, and compatibility with Visual Studio Code for development and debugging.
Where to use
python-mcp-server can be used in various fields where model context management is essential, such as data science, machine learning, and application development that requires context-aware functionalities.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Python MCP Server Template
A minimal template for creating a Model Context Protocol (MCP) server using the Python SDK.
:wrench: Setup
[!TIP]
If you want to create your own server, create a new repository using this template.
:package: Prerequisites
- uv for package management
- Python 3.13+ (
uv python install 3.13)
:gear: Setup Python environment
Install all dependencies and activate the virtual environment
uv sync
source .venv/bin/activate
:rocket: How to use
The server can be run in multiple ways:
:robot: Visual Studio Code
The configuration to run this server in VSCode is already included in .vscode/mcp.json.
All you need to do is Open VS Code Copilot Edits (Agent Mode)
[!NOTE]
At the time of writing this, MCP is only available in Visual Studio Code Insiders version
:microscope: Development Mode
The fastest way to test and debug your server is with the MCP Inspector:
mcp dev server/main.py
or you can run your server directly
python server/main.py
:books: Documentation
For more information about the Model Context Protocol:
:page_with_curl: License
This project is licensed under the MIT License
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
