Python MCP Server Template

Name: Python MCP Server Template
Author: HappyPathway

@HappyPathway

代码仓库

关于 Python MCP Server Template

暂无概览

基本信息

分类

文件与存储

运行时

python

传输方式

stdio

发布者

HappyPathway

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

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?

Python MCP Server Template is a template repository for creating Model Context Protocol (MCP) servers using Python with stdio transport. It provides a standardized setup for building MCP servers that integrate with VS Code.

How to use Python MCP Server Template?

Use this template to create a new MCP server project, then set up a Python virtual environment, install dependencies from requirements.txt, customize MCP tools in src/server.py, and test locally with VS Code. Configuration requires creating .vscode/mcp.json with stdio settings.

Key features of Python MCP Server Template

Example MCP tools implemented with decorators
VS Code development environment support
Simple stdio‑based transport for local development
Easy debugging with VS Code’s Python debugger
Standardized project structure with src/ and .vscode/

Use cases of Python MCP Server Template

Creating a new MCP server from a reproducible template
Building custom MCP tools that integrate with VS Code
Testing MCP servers locally using stdio communication
Developing and debugging MCP servers with VS Code’s debugger

FAQ from Python MCP Server Template

What is this template for?

It is a starting point for creating MCP servers using Python and stdio transport, with built‑in VS Code support.

What transport does the server use?

The server uses standard input/output (stdio) for communication with the MCP client.

How do I add custom tools?

Modify the Python code and add tools using the @tool decorator in src/server.py.

How do I set up the development environment?

Create a Python virtual environment with python -m venv venv, activate it, and install dependencies with pip install -r requirements.txt.

How do I test my MCP server?

Test your server locally using VS Code’s built‑in MCP testing capabilities, and debug with breakpoints and the VS Code Python debugger.

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