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