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jangtrinh/colab-mcp-recipes

开发工具

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The definitive collection of AI agent workflows for Google Colab MCP. 106 ready-to-use recipes across GPU/Deep Learning, Generative AI, Data Science, Google Integration, Education & more.

概览

Pick any recipe below, paste the prompt into your AI agent, and watch it build a full notebook on Google's cloud. These 5 recipes showcase the best of Colab MCP: Gemini CLI · Claude Code · Cursor · VS Code Copilot · Any MCP-compatible client 💡 Colab MCP = ssh for the AI age. Your agent writes code, runs it on cloud GPUs, debugs it, and reports back — in one conversation. Read the full deep-dive → Click a category to expand. Each recipe includes a copy-paste prompt template. 🆓 Free GPU/TPU — Deep Learning & Training (13) 🆓 Free GPU/TPU — Generative AI & LLMs (14) 📦 Pre-installed ML Ecosystem — Data Science (16)

README

以下为原文 README 节选,完整内容请查看原文。

Curated by Jang Trịnh


⚡ Quick Start

3 steps. Under 2 minutes.

1. Install the MCP server

pip install uv

2. Add to your agent’s MCP config

{
  "mcpServers": {
    "colab-mcp": {
      "command": "uvx",
      "args": ["git+https://github.com/googlecolab/colab-mcp"],
      "timeout": 30000
    }
  }
}

📖 Setup guides: Gemini CLI · Claude Code · Cursor / VS Code

3. Copy a recipe prompt and go!

Pick any recipe below, paste the prompt into your AI agent, and watch it build a full notebook on Google’s cloud.


⭐ Start Here — Top 5 Picks

Not sure where to begin? These 5 recipes showcase the best of Colab MCP:

Recipe Why this one
🔥 CSV → Insights Works instantly — upload any CSV, get a full analysis notebook
🧠 Run Llama 3 Experience free GPU power: run a real LLM with one prompt
🎨 Stable Diffusion Visual wow: generate images from text on Colab’s GPU
📊 A/B Test Analysis Business-ready: statistical significance, power analysis, Bayesian
🔗 Colab → GitHub Multi-MCP magic: train model → auto-commit results to repo

在 GitHub 查看完整 README

安装

uvx git+https://github.com/googlecolab/colab-mcp
新手?先看 mcpskill.org 教程 →

配置

{ "mcpServers": { "colab-mcp": { "command": "uvx", "args": ["git+https://github.com/googlecolab/colab-mcp"], "timeout": 30000 } } }