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GPU MCP

by wtrhacker
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    • Runcrate by runcrateai

      Runcrateofficial

      runcrateai
      A
      license
      Not graded
      quality
      A
      maintenance
      Enables AI agents to work with a GPU cloud: check live GPU prices, launch GPUs on ready images, run commands as jobs that stop billing when the command exits, schedule runs, move files, and check spend. Access is scoped to one signed-in environment and capped by its monthly budget.
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    • CloudGPU MCP

      mrhy7176
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables an AI agent to check live GPU prices, get a cost quote, rent a per-minute GPU instance, upload code and data, run jobs in the background, tail logs, download results and destroy the instance to stop billing. Includes guardrail limits on spend, hours and idle time, safe file transfer, and access to an OpenAI-compatible model API for inference without renting a GPU.
      524 npm
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    • gpuctl-mcp

      EricYuan2007
      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

    • env-doctor

      Novaes89769
      F
      license
      Not graded
      quality
      A
      maintenance
      Enables AI assistants to run GPU/CUDA environment diagnostics, check hardware and software compatibility, get safe install commands, and validate Dockerfiles for GPU issues through natural-language requests.
      -

    • agent-gpu-pool

      AlfredQuan
      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

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