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jangtrinh/colab-mcp-recipes

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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.

Overview

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

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

🏗️ How It Works

graph LR
    A[You] -->|Prompt| B[AI Agent]
    B -->|MCP Protocol| C[Colab MCP Server]
    C -->|Creates & Runs| D[Google Colab Notebook]
    D -->|Free GPU/TPU| E[Results & Visualizations]
    
    style A fill:#4285F4,stroke:#333,color:#fff
    style B fill:#EA4335,stroke:#333,color:#fff
    style C fill:#FBBC04,stroke:#333,color:#000
    style D fill:#34A853,stroke:#333,color:#fff
    style E fill:#4285F4,stroke:#333,color:#fff

Works with: Gemini CLI · Claude Code · Cursor · VS Code Copilot · Any MCP-compatible client

🔥 Why Colab MCP?

Without MCP With Colab MCP
Copy-paste code between AI chat and Colab Agent writes AND runs code directly
“Run this locally” = no GPU, OOM errors Free T4 GPU, 12+ GB RAM, sandboxed
Results stuck in chat = lost Persists in a shareable .ipynb notebook
One tool at a time Chain Colab + GitHub + Sheets + Slack

💡 For hackers: 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 →

📚 Full Recipe Catalog (106)

Click a category to expand. Each recipe includes a copy-paste prompt template.

🧠 System Prompts

Supercharge your recipes with pre-built agent personas:

Prompt Best For What It Does
Data Analyst Data Science recipes Thinks in pandas, asks clarifying questions about data
ML Engineer GPU/Training recipes Optimizes for GPU memory, picks best architectures
Researcher Research recipes Structures experiments, cites papers, tracks results
Educator Education recipes Explains concepts, adds interactive widgets, progressive difficulty

💡 Pro tip: Combine a system prompt + a recipe for best results. Example: Use the ML Engineer prompt with the Quick Fine-tune recipe.

🤝 Contributing

We welcome contributions! See CONTRIBUTING.md for:

  • 📝 Recipe template and format guidelines
  • ✅ Quality checklist for new recipes
  • 🏷️ How to add new categories

Every recipe should be something you’d star. ⭐

📜 License

PolyForm Shield 1.0.0 © Jang Trịnh — free to use and modify; no resale or competing products.

If this helped you, give it a ⭐ — it helps others discover these recipes!

LinkedIn · Official Colab MCP · MCP Protocol

Made with 🧡 by Jang Trịnh — Founder @ EaseUI · Ex-Head of Design @ Elfie

View the full README on GitHub

Install

uvx git+https://github.com/googlecolab/colab-mcp
New to MCP? Start with the mcpskill.org guide →

Configuration

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