MCP Local Dev

🚀 MCP Local Development

Let AI manage your local development environment and focus on building amazing things!

🚀 Quick Start

A local development environment management tool that allows large language models (LLMs) to handle the configuration and management of your development environment. Designed for AI assistants, it automatically manages environment setup, dependencies, and testing.

1. Install Claude Desktop from the MCP Quick Start Guide.
2. Add the following content to your Claude Desktop configuration:

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

3. Instruct Claude to handle any GitHub repository and set up the development environment!
4. Have it run tests and report coverage!
5. Start a discussion and freely view or clean up the environment!

✨ Features

Test Runner

• 🧪 pytest with coverage reports
• ⚡️ Vitest and V8 coverage
• 🃏 Detailed Jest coverage metrics
• 🛡️ Test isolation and caching out of the box

Runtime Support

• Python: Use uvx for lightning-fast dependency installation and management.
• Go: Built-in Go module support for seamless dependency management.
• Node.js: Manage dependencies via npm/yarn/pnpm and run with zero configuration.

Environment Management

• Isolated Environments: Each project has its own space to avoid dependency conflicts.
• Fast Switching: Switch between different environments instantly and focus on development.
• Persistent Storage: Cache dependencies locally to improve subsequent usage speed.

Developer Experience

• Real-time Updates: Code changes take effect immediately without restarting the service.
• Zero-configuration Run: Ready to use out of the box, simplifying the startup process.
• Unified Entry: Manage all projects through the mcp run command.

🔧 Technical Details

The MCP local development tool is implemented using the following key technologies:

1. MCP Server Specification: Defines clear environment interfaces to ensure compatibility and scalability.
2. Path Isolation: Each project has an independent sandbox to prevent dependency conflicts.
3. Local Caching Mechanism: Improves the efficiency of repeated operations and reduces network dependency.
4. Parallel Processing Capability: Supports multi-task execution to optimize resource utilization.

Thoughts on AI in Development

• Speed and Efficiency: AI has shown great advantages in code generation and debugging.
• Auxiliary Function: AI can be a reliable partner for developers, enhancing productivity.
• Future Outlook: As technology advances, AI will play an increasingly important role in software development.

🙏 Thanks

Thanks to the following projects and technologies:

• UV - A lightning-fast Python package management tool.
• Aider - An AI assistant programming partner.
• Anthropic - Provides strong support for Claude.
• Helix Editor - An excellent modal editor.

📄 License

MIT