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author:go-rod MCP tools

Production-ready MCP servers that extend AI capabilities through file access, database connections, APIs, and contextual services.

67,031 tools. Last updated 2026-01-30 23:24
  • Deploys a GPU-enabled container pod on RunPod infrastructure by specifying Docker image, GPU requirements, storage, and network settings to run compute workloads.
  • Retrieve details about a specific RunPod pod, including its configuration, status, and optional machine or network volume information.
  • Create GPU-enabled cloud pods for running Docker containers with customizable resources, volumes, and network configurations.
  • Stop a running pod on RunPod to manage resources and control costs. Provide the pod ID to halt execution.
  • Start a RunPod cloud GPU pod using its ID to activate computing resources for AI workloads and applications.

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