Create sandboxed local development environments directly from Github and execute tests, see coverage and more! Supports Python, Node, Bun and many test runners.
Let AI handle your local development environments while you focus on building amazing things!
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.
{
"servers": {
"local_dev": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/txbm/mcp-local-dev@main",
"mcp-local-dev"
]
}
}
}Point Claude at any GitHub repository and ask it to set up a dev environment!
Have it run the tests and report coverage!
Have a discussion, poke around or clean it up if you're done!
Development involved rigorous testing across multiple models: - ? Claude 3.5 Sonnet: Crushed it - ? DeepSeek V3: Strong performer - ? O1: Not great, Bob
This project demonstrates the incredible potential of AI-assisted development: - ?♂️ Lightning fast prototyping - ? That last 15% is still where the real work happens - ? Great example of real-world AI development patterns
As someone who's spent years in software development, what's exciting about this project isn't just automation - it's the shift in how we interact with development environments. The value isn't in replacing human developers, but in reducing cognitive overhead. When AI handles environment setup and maintenance, developers can focus more on architecture and design decisions.
This project demonstrates that AI isn't just about generating code - it's about managing complexity. By handling the mechanical aspects of development environment setup, we free up mental bandwidth for the creative and architectural challenges that truly need human insight.
MIT