Provision manage GPU compute infrastructure on demand
mcp-servermcp_serversetup L3★0
runpod/runpod-mcp ↗What it does
Provision and manage GPU compute infrastructure
Best for
On-demand GPU clusters for AI inference or fine-tuning without Kubernetes complexity.
Inputs
- · pod name
- · GPU type (RTX 4090 etc.)
- · container image URI
- · desired GPU count
Outputs
- · pod ID and status
- · pod IP/port
- · serverless endpoint config
- · container registry auth tokens
Requires
- · RunPod API key
- · Docker image access
Preconditions
- · RunPod account + API key
- · available GPU quota
Failure modes
- · GPU type unavailable
- · quota exceeded
- · image pull failures
- · spot instance preemption
Trust signals
- · Smithery badge
- · Serverless + Pod dual support
- · REST+GraphQL backends documented