让AI处理你的本地开发环境，你专注于打造令人惊叹的成果！

✨ 这是什么？

一个本地开发环境管理器，让大型语言模型（LLM）为你配置和管理开发环境。为AI助手设计，自动处理环境设置、依赖管理和测试。

🏃 快速启动

1. 通过MCP快速入门指南安装Claude桌面

2. 在您的 Claude Desktop 配置中添加以下内容：

3. 指向任何GitHub仓库，让Claude搭建开发环境！

4. 让它运行测试并报告覆盖范围！

5. 讨论、探索或清理完！

🎯 核心功能

测试跑者

• 🧪 带覆盖报告的pytest
• ⚡️ Vitest，V8发动机覆盖
• 🃏 带有详细覆盖指标的玩笑
• 🔬 带覆盖支持的 UNITEST

运行时支持

• 🐍 带有UV包管理的Python。
• 📦 与NPM的Node.js
• ⚡️ Bun 运行时和包管理器

环境管理

• 🏗️ 自动运行时检测
• 📦 智能包管理器选择
• 🔒 沙盒环境
• 🧹 自动清理
• 🔄 GitHub仓库支持
• 📂 本地项目支持

开发者体验

🚀 MCP Local Dev

Let AI handle your local development environments while you focus on building amazing things!

✨ What’s This?

A local development environment manager that lets LLMs configure and manage dev environments for you. Built for AI assistants to handle environment setup, dependency management, and testing automatically.

🏃 Quick Start

1. Install Claude Desktop from the MCP quickstart guide
2. Add the following to your Claude Desktop config:

{
  "servers": {
     "local_dev": {
      "command": "uvx",
      "args": [
        "--from",
        "git+https://github.com/txbm/mcp-local-dev@main",
        "mcp-local-dev"
      ]
    }
  }
}

3. Point Claude at any GitHub repository and ask it to set up a dev environment!

4. Have it run the tests and report coverage!

5. Have a discussion, poke around or clean it up if you’re done!

🎯 Core Features

Test Runners

• 🧪 pytest with coverage reporting
• ⚡️ Vitest with V8 coverage
• 🃏 Jest with detailed coverage metrics
• 🔬 unittest with coverage support

Runtime Support

• 🐍 Python with UV package management
• 📦 Node.js with NPM
• ⚡️ Bun runtime and package manager

Environment Management

• 🏗️ Automatic runtime detection
• 📦 Smart package manager selection
• 🔒 Sandboxed environments
• 🧹 Automatic cleanup
• 🔄 GitHub repository support
• 📂 Local project support

Developer Experience

• 🎯 Zero configuration needed
• 📊 Structured JSON logging
• 🔍 Detailed test coverage metrics
• 🛡️ Isolated environments per project

💫 Under the Hood

• MCP Server Spec: Full compliance with comprehensive test coverage
• Path Isolation: Each environment is neatly contained
• System Integration: Uses your installed runtimes (Python, Node.js, Bun)
• Package Management: Automatically selects fastest available package manager for each runtime
• Network Access: Full connectivity for package management
• Process Handling: Native system processes for maximum speed

🌟 Behind the Scenes

Development involved rigorous testing across multiple models:

• 🏆 Claude 3.5 Sonnet: Crushed it
• 💪 DeepSeek V3: Strong performer
• 👎 O1: Not great, Bob

🚀 Key Takeaways

This project demonstrates the incredible potential of AI-assisted development:

• 🏃‍♂️ Lightning fast prototyping