Schema | mcp-server-colab-exec

mcp-server-colab-exec

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Features and capabilities supported by this server

Capability	Details
`tools`	{ "listChanged": false }
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
colab_executeA	Execute Python code on a Google Colab GPU runtime. Allocates a T4 or L4 GPU, runs the code, and returns structured JSON with per-cell output, errors, and stderr. Args: code: Python code to execute on the Colab GPU runtime. accelerator: GPU type — "T4" (free-tier) or "L4" (premium). Default: "T4". timeout: Max execution time in seconds. Default: 300.
colab_execute_fileA	Execute a local Python file on a Google Colab GPU runtime. Reads the file contents and sends them for execution on a Colab GPU. Args: file_path: Path to a local .py file to execute on Colab. accelerator: GPU type — "T4" (free-tier) or "L4" (premium). Default: "T4". timeout: Max execution time in seconds. Default: 300.
colab_execute_notebookA	Execute Python code on Colab GPU and collect generated artifacts. Runs the code, then scans the runtime for output files (images, CSVs, models, etc.), zips them, and downloads to a local directory. Args: code: Python code to execute on the Colab GPU runtime. output_dir: Local directory to save the artifacts zip and extracted files. accelerator: GPU type — "T4" (free-tier) or "L4" (premium). Default: "T4". timeout: Max execution time in seconds. Default: 300.

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/pdwi2020/mcp-server-colab-exec'

If you have feedback or need assistance with the MCP directory API, please join our Discord server