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306,353 tools. Last updated 2026-07-26 19:03
"author:xja1023789-collab" matching MCP tools:
- 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
- Switch the Colab runtime to a specific GPU accelerator (NONE, T4, L4, or A100) using OAuth authentication.Apache 2.0
- Check actual GPU availability in Colab runtime via nvidia-smi. Returns status and remediation steps if GPU is inactive, avoiding reliance on UI text.Apache 2.0
- Run a shell command in a Google Colab terminal and wait for its completion. Designed for quick commands, not long-running tasks.Apache 2.0
- Retrieve cell IDs, contents, and outputs from the active Colab notebook to support iterative code writing, running, and adjusting.Apache 2.0
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- Disconnect and release the active Colab runtime after completing long-running work like training. Save files first to prevent data loss.Apache 2.0
- 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
- 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
- Insert a text cell at a specified index in a Google Colab notebook, shifting existing cells as needed.Apache 2.0
- Restart the Python runtime to clear state and environment variables in Google Colab without closing the notebook.Apache 2.0
- Remove a specific cell from a Colab notebook by its cell ID. Requires an active browser connection to the notebook.Apache 2.0
- Insert a code cell at a given index in a Colab notebook, shifting existing cells, and return the new cell ID.Apache 2.0
- Reorder notebook cells by moving a specified cell to a new index, shifting other cells accordingly.Apache 2.0
- Run a code cell in a Colab notebook by providing its cell ID and get the output back.Apache 2.0
- Recreate your development environment by rerunning saved setup cells—restoring dependencies and variables after a reset.Apache 2.0
- Check your Colab runtime environment details including Python version, platform, CPU, working directory, and selected package versions.Apache 2.0
- Select an accelerator like T4 or A100 GPU in Google Colab. Applying restarts the runtime, so reconnect afterward to verify.Apache 2.0
- Start a background shell command in a Colab runtime, with output logged to a file and status tracked for monitoring.Apache 2.0
- Retrieve a list of background commands currently running in the Colab Terminal, registered by start_background_command.Apache 2.0