Unofficial MCP server for Google Colab: runtimes, long jobs, files, notebooks and optional Drive, via the official google-colab-cli
An MCP server that lets an AI agent (Claude, or any MCP client) use Google Colab end to end: create and stop GPU/TPU runtimes, run code, work in notebooks cell by cell, launch long background jobs, and move files and folders in and out of the VM.
It is a thin, safe layer over Google's official Colab CLI (google-colab-cli). It does not reimplement Colab and does not depend on a browser tab.
🇪🇸 Resumen en español al final de este archivo.
You need uv and the official Colab CLI, signed in once (macOS or Linux):
That registers the server in Claude Code, and uvx downloads it from PyPI the first time. For Claude Desktop, other clients, secrets and the optional Drive tools, see Install.
- Tested against a simulated CLI (118 checks, plus 129 for Drive against a simulated Drive API, 28 for the Drive mount and 17 for local cleanup; tests/): a real MCP client talks to the server over stdio and the code that normally runs on the VM is executed for real in a sandbox folder. - Validated live once. On a real Colab session (macOS, Claude as the client): creating a runtime, running code, a long background job with log polling, mounting Drive from the chat (below) and stopping the session, with one real batch workload (10 items, 0 errors). That is a single run, not a benchmark. - Published on PyPI as colab-cli-mcp 0.1.0. The published package was installed in a clean environment (pip, and uvx) and listed its 42 tools over stdio. That check ran on Linux; use of the uvx route with Claude on macOS has not been checked yet. - Not yet validated live: the Google Drive API tools (drive), noteb
From the project README.
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