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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 : 9
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 StartA pre-configured development environment allows you to run an MCP server within minutes.
VSCode IntegrationBuilt-in VSCode configuration supports direct running in Copilot Edits (Agent Mode).
MCP Standard CompatibilityFully compliant with the Model Context Protocol specification, ensuring interoperability with other MCP services.
Advantages and Limitations
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 ModelDevelopers 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 DevelopmentTeams 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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