Establishes a connection to a running Google Colab session in the browser, granting access to notebook editing capabilities. Returns a boolean indicating success.
Apache 2.0
631,699 tools. Updated 2026-10-03 01:31
"Google Colab" matching MCP tools:
- Execute a local .py script on a Google Colab GPU/TPU runtime. Supports T4, L4, A100, H100 accelerators.MIT
- Execute Python code on Google Colab GPU/TPU runtimes, with support for multiple accelerators, background jobs, and Google Drive file integration.MIT
- Verify the MCP server version on Google Colab GPU to ensure compatibility or debug issues.MIT
- Execute a local Python file on a Google Colab GPU runtime (T4 or L4) by specifying the file path, accelerator, and timeout. Enables GPU-accelerated code without local hardware.MIT
- Opens a connection to a Google Colab browser session and unlocks notebook editing tools. Returns whether the connection succeeded.Apache 2.0
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I do everything related to Google Docs
- Connect to a Google Colab browser session to enable notebook editing and code execution. Returns success status of the connection attempt.Apache 2.0
- Execute Python code on a Google Colab GPU runtime (T4 or L4) and receive structured JSON with cell output, errors, and stderr. Allocates GPU on demand without local hardware.MIT
- Open a connection to a Google Colab browser session to enable notebook editing tools. Returns true if the connection succeeds.Apache 2.0
- Opens a connection to a Google Colab browser session, unlocking notebook editing tools. Returns a boolean indicating success.Apache 2.0
- Restart the Python runtime to clear state and environment variables in Google Colab without closing the notebook.Apache 2.0
- Open a Google Colab browser session to enable notebook editing tools, returning a boolean for connection success.Apache 2.0
- Opens a connection to a Google Colab browser session, enabling notebook editing tools. Returns true if the connection attempt succeeds.Apache 2.0
- Provision or reuse a Colab GPU runtime (L4 default) for running scripts and managing Drive checkpoints. Confirms Drive mount and tracks Colab unit consumption.MIT
- Connect to a Google Colab browser session to unlock notebook editing. Optionally provide a notebook URL to access an existing notebook instead of a new scratch one.Apache 2.0
- Delete a cell from a Google Colab notebook using its cell ID, with an active browser connection to the Colab session.Apache 2.0
- Run Python code in a Colab or Jupyter runtime and retrieve stdout, stderr, expression results, and rich display data.MIT
- Create a new runtime session to execute code in Colab or Jupyter. Attach to an existing kernel via a connection file, or launch a local kernel by omitting it.MIT
- Generates a Colab URL from a Google Drive notebook file ID, allowing you to share or open the notebook in Colab without automatically launching a browser.MIT
- Add a new code cell to a Google Colab notebook, specifying code, language, and position. Requires an active Colab browser connection.Apache 2.0
- Creates a new directory in the Google Colab runtime, with options to create parent directories and handle existing paths without error.Apache 2.0