A
licenseA
qualityC
maintenanceEnables MCP-compatible AI assistants to run Python code on Google Colab GPU/TPU runtimes, supporting accelerators like T4, A100, H100, with background execution and Google Drive integration.
10
3
MIT
mcp-server-colab-exec
by pdwi2020
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TDQS
A4/5.0
Scored across 3 tools
Disambiguation4/5
Tools serve distinct use cases: inline code, file execution, and artifact collection. However, colab_execute and colab_execute_notebook both take 'code' parameter, risking slight confusion if descriptions aren't read carefully.
Naming Consistency5/5
All tools follow a consistent 'colab_execute_<action>' pattern using snake_case. The naming is predictable and clear.
Tool Count4/5
Three tools cover the core action of executing code on Colab. The count is slightly low but each tool provides distinct functionality, making it appropriate for the focused scope.
Completeness3/5
The set covers code execution and artifact retrieval, but lacks tools for managing runtimes (e.g., list, stop) or retrieving outputs separately. This creates minor operational gaps for agents.
Maintenance
ActivityInactive
ResponsivenessUnresponsive