Google Colab MCP Server — GPU-Powered Notebooks for Your AI Agent

At a glance: Google official, open-source, ~27 stars (brand new), two operational modes, GPU access. Released March 17, 2026. Rating: 3.5/5. Google released the Colab MCP server on March 17, 2026. It lets any MCP-compatible AI agent treat a Colab notebook as a remote, GPU-enabled execution environment. Your agent writes code, executes it on Colab's cloud infrastructure (T4 and L4 GPUs), and gets results back. Two Modes Session Proxy (default): WebSocket bridge between your browser Colab tab and your MCP client. Your agent gets a remote control for your open notebook — adding cells, editing content, executing code, reading outputs. Runtime (opt-in): Direct programmatic access to Jupyter kernels on Colab VMs. No browser needed. More powerful for automated workflows. Key Capabilities Notebook lifecycle — create .ipynb files, add code + markdown cells Code execution — run Python in the Colab kernel with pre-configured ML libraries Persistent state — variables persist across execution steps