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Alternatives to Kaggle GPU MCP

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    Related Servers

    • A
      license
      A
      quality
      B
      maintenance
      Enables AI agents and their users to submit, route, and monitor training jobs across free-tier GPU clouds (Kaggle, Colab, Lightning, local MPS) through a local daemon that tracks quota, explains routing decisions, and gates long or secret-reading agent jobs behind human approval.
      8
      MIT
    • F
      license
      Not graded
      quality
      B
      maintenance
      Enables LLMs to manage and run machine learning training jobs on a remote server, including syncing code, submitting experiments, monitoring progress, reading TensorBoard metrics, and receiving completion notifications.
      -
    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables users to submit, monitor, cancel, and retrieve results from local mathematical computations in geometric function theory, convex optimization, and spatial graph analysis through persistent jobs, progress tracking, and paginated artifacts.
      MIT
    • F
      license
      B
      quality
      C
      maintenance
      Enables running ML experiments from a local laptop by coordinating GitHub for code, Kaggle for data and GPU training, Weights & Biases for tracking runs, and Google Drive for small artifacts.
      14
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to manage GPU training end-to-end through natural language, including submitting and scheduling jobs, monitoring logs and metrics, diagnosing failures, comparing runs, and recommending the best checkpoints.
      Apache 2.0
    • A
      license
      B
      quality
      C
      maintenance
      Provides a persistent compute queue for AI agents, enabling them to submit hardware-aware GPU jobs, monitor execution, and retrieve results and artifacts across sessions via MCP tools.
      13
      MIT