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Alternatives to colab-mcp

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    Related Servers

    • A
      license
      B
      quality
      B
      maintenance
      A Model Context Protocol server that gives Codex and other MCP clients access to Google Colab runtimes—allowing session allocation, command execution, notebook management, file operations, and data transfers.
      35
      2
      Apache 2.0
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables MCP clients to execute Python code on Google Colab GPU/TPU runtimes via the official Colab CLI, with session, file, and package management capabilities.
      -
    • A
      license
      A
      quality
      D
      maintenance
      MCP server that allocates Google Colab GPU runtimes (T4/L4) and executes Python code on them. Lets any MCP-compatible AI assistant run GPU-accelerated code without local GPU hardware.
      3
      9
      MIT
    • A
      license
      B
      quality
      C
      maintenance
      Lets any MCP-compatible agent use Google Colab or Jupyter runtimes as an execution backend, enabling code execution, notebook management, package installation, hardware introspection, training jobs, and file handling.
      40
      1
      MIT

    TDQS

    B3/5.0

    Scored across 59 tools

    Disambiguation4/5

    Most tools have distinct purposes, but aliases like download_notebook/export_notebook and upload_notebook/import_notebook could confuse an agent. Additionally, multiple run cell tools (run_code_cell, run_code_cells, run_cell_range, run_all_cells) have overlapping functionality.

    Naming Consistency4/5

    Tool names consistently use snake_case, but the verb patterns vary (e.g., run_ vs. start_ vs. watch_). Aliases like download_notebook vs. export_notebook break the pattern slightly.

    Tool Count2/5

    59 tools is excessive for a Colab notebook server. The scope, though broad, could be covered with fewer tools by merging similar ones (e.g., file upload/download variants). This exceeds the 'too many' threshold of 25+.

    Completeness4/5

    The toolset covers notebook cell operations, runtime management, file handling, environment variables, GPU monitoring, and background commands. Minor gaps exist, such as a tool to list all notebooks or retrieve runtime metadata.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues