MCP Python Starter

Name: MCP Python Starter
Author: SamMorrowDrums

@SamMorrowDrums

代码仓库

关于 MCP Python Starter

A starter MCP server in Python.

基本信息

分类

开发工具

许可证

MIT

运行时

python

传输方式

stdio

发布者

SamMorrowDrums

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-python-starter": {
      "command": "uv",
      "args": [
        "sync"
      ]
    }
  }
}

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 MCP Python Starter?

A feature-complete Model Context Protocol (MCP) server template written in Python using FastMCP. It demonstrates all major MCP features—tools, resources, templates, and prompts—with clean, Pythonic code, serving as a jumpstart for developers building their own MCP servers.

How to use MCP Python Starter?

Install prerequisites: Python 3.11+ and uv (recommended) or pip. Clone the repository, run uv sync (or pip install -e .), then start the server with uv run mcp-python-starter --stdio for local development or uv run mcp-python-starter --http --port 3000 for HTTP transport. VS Code integration via .vscode/mcp.json and DevContainers are included for seamless development.

Key features of MCP Python Starter

Tools with annotations and structured data
Dynamic tool loading at runtime
Resource templates for personalized responses
Progress updates for long-running tasks
LLM sampling via tool invocation
Code review prompt template with focus areas

Use cases of MCP Python Starter

Quickly prototyping and testing an MCP server locally
Learning how to implement tools, resources, and prompts with FastMCP
Building a custom MCP server for an AI‑powered IDE or chat client
Debugging server behavior using the MCP Inspector tool

FAQ from MCP Python Starter

What are the prerequisites for using MCP Python Starter?

You need Python 3.11 or later and either uv or pip installed on your system.

How do I run the server?

Use uv run mcp-python-starter --stdio for stdio transport (local development) or uv run mcp-python-starter --http --port 3000 for HTTP transport (remote/web deployment).

How can I debug the server?

Launch the MCP Inspector with npx @modelcontextprotocol/inspector -- uv run mcp-python-starter to test tools, resources, prompts, and view JSON‑RPC logs.