pulsemcp verified Safe content atomic mcp-remote

Kubernetes GPU Agent

An ephemeral diagnostic agent for Kubernetes clusters that provides real-time NVIDIA GPU hardware introspection via stdio transport, designed for AI-assisted troubleshooting by SREs debugging complex hardware failures. Uses NVIDIA NVML library to expose GPU inventory, health monitoring, and XID error analysis tools through kubectl debug sessions, eliminating the need for persistent DaemonSets or standing infrastructure. Operates in read-only mode by default with an optional operator mode for destructive operations, featuring graceful degradation when GPU hardware is unavailable.

Cognium trust score
88%
Tier
Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

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Metadata

Version
1.0.0
Skill type
atomic
Execution layer
mcp-remote
Category
cloud-infra
Source
PulseMCP
Author type
human
Last scanned
2026-09-28
Updated
2026-09-28
View source Find related skills

Use via MCP

MCP

Resolve Kubernetes GPU Agent from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
Swap --scope user for --scope project to commit it to .mcp.json.

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