pulsemcp verified Safe content atomic mcp-remote

Kubernetes

This MCP server provides comprehensive Kubernetes cluster management capabilities, enabling AI assistants to list, get, apply, delete, and execute commands on Kubernetes resources across both namespaced and clustered scopes. Built by StacklokLabs using Go with the Kubernetes client-go library and mark3labs/mcp-go framework, it features rate limiting with configurable per-tool limits, timeout middleware to prevent context cancellation errors, periodic kubeconfig refresh for long-running deployments, and special handling for pod operations including log retrieval and command execution with configurable timeouts. The implementation offers both read-only and read-write modes, optional resource serving to reduce LLM context size for large clusters, SSE transport support, and tools for applying YAML manifests, retrieving pod logs with filtering options, executing commands in containers, and accessing subresources like status and scale, making it valuable for DevOps automation, cluster monitoring and troubleshooting, CI/CD pipeline integration, and any workflow requiring programmatic Kubernetes cluster management through natural language interfaces.

Cognium trust score
95%
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
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Use via MCP

MCP

Resolve Kubernetes 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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