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Python MCP Server Template

@djaboxx

代码仓库

基本信息

分类

开发工具

传输方式

stdio

作者

djaboxx

关于 Python MCP Server Template

Template for creating Model Context Protocol (MCP) servers

Python MCP Server Template 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "template-mcp-server-djaboxx": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

Python MCP Server Template 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Python MCP Server Template?

The Python MCP Server Template is a foundation for building Model Context Protocol (MCP) servers that integrate with VS Code’s AI features. It provides best practices for async Python, configuration validation, logging, and error handling, following patterns from production MCP servers.

How to use Python MCP Server Template?

Clone the repository, create a Python virtual environment, install dependencies from requirements.txt, update the server name and description in src/server.py, and add your own service configuration and client. Configure VS Code by adding an MCP server entry in settings.json using the stdio transport and the specified environment variables.

Key features of Python MCP Server Template

  • Pydantic models for configuration validation
  • Async context manager for server lifecycle management
  • Decorator-based tool registration with type hints
  • Structured error handling with logging and user feedback
  • Environment variable configuration for secrets and options
  • Production-proven architectural patterns for service clients

Use cases of Python MCP Server Template

  • Create a custom MCP server to extend VS Code’s AI capabilities
  • Build a service-specific tool that interacts with an external API
  • Develop a prototype MCP server following best practices
  • Teach or learn MCP server implementation patterns

常见问题

1

What are the dependencies and runtime requirements?

The server requires Python 3 and the packages listed in `requirements.txt`. It uses the FastMCP library and runs via stdio.

2

How is authentication handled?

The template expects an API key stored in the environment variable `SERVICE_API_KEY`. The key is passed in the VS Code MCP configuration as a promptString input.

3

What transport does the server use?

The server communicates with VS Code using the stdio transport, as configured in the VS Code `settings.json` MCP entry.

4

Are there any known limitations?

The README does not mention specific limitations; the template is a starting point for custom servers and does not include built-in tools.

5

Where does the server’s configuration come from?

Configuration is loaded from environment variables (e.g., `SERVICE_API_KEY`, `SERVICE_ENDPOINT`, `SERVICE_TIMEOUT`, `LOG_LEVEL`) and validated with Pydantic models at startup.

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