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Python MCP Server Template
A Python template project for creating a Model Context Protocol (MCP) server, supporting rapid development and debugging.
rating : 2 points
downloads : 4.6K
What is Python MCP Server?
This is an out-of-the-box template that helps developers quickly set up an AI service compliant with the Model Context Protocol. It provides standardized interfaces, enabling different AI models to interact in a unified way.How to use Python MCP Server?
Simply clone the template repository, install the dependencies, and you can start a server compliant with the MCP standard. It supports multiple running modes, including development mode and VSCode integration.Use Cases
Suitable for scenarios that require standardized AI model interfaces, such as multi-model collaboration, AI service integration, and model testing. It is especially suitable for AI developers and research teams.Main Features
Quick Start
A pre-configured development environment allows you to run an MCP server within minutes.
VSCode Integration
Built-in VSCode configuration supports direct running in Copilot Edits (Agent Mode).
MCP Standard Compatibility
Fully compliant with the Model Context Protocol specification, ensuring interoperability with other MCP services.
Advantages
Out-of-the-box, reducing configuration time
Standardized interfaces for easy integration
Support for multiple running modes
Supported by an active developer community
Limitations
Currently only supports Python 3.13+
VSCode support requires the Insiders version
Additional work is required for non-Python ecosystem integration
How to Use
Install Dependencies
Use the uv tool to install all necessary Python dependency packages.
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Activate the Virtual Environment
Activate the Python virtual environment to isolate dependencies.
Run the Server
Select a running mode that suits your needs to start the server.
Usage Examples
Quickly Test an AI Model
Developers can use this template to quickly set up a test environment to verify whether an AI model complies with the MCP standard.
Multi-Model Collaborative Development
Teams can use a unified template to develop multiple model services, ensuring interface consistency.
Frequently Asked Questions
Why is Python 3.13+ required?
How to develop without using VSCode?
Can it be used in a production environment?
Related Resources
MCP Python SDK
Official Python SDK documentation
Model Context Protocol Specification
MCP protocol technical specification
MCP Inspector Tool
A tool for testing and debugging MCP services
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