Inspektor Gadget
AI-powered debugging and inspection server for Kubernetes clusters using Inspektor Gadget, providing intelligent gadget discovery, deployment management, and real-time system monitoring through natural language commands. The implementation automatically discovers available gadgets from Artifact Hub, manages Inspektor Gadget deployment via Helm, and dynamically registers each gadget as an MCP tool with intelligent output summarization and background execution capabilities. Built by the Inspektor Gadget team with comprehensive Kubernetes integration including RBAC support and security controls, it enables developers to troubleshoot cluster issues, monitor network traffic, trace system calls, and analyze performance bottlenecks through conversational AI interfaces without requiring deep knowledge of eBPF or gadget syntax.
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 2026-09-19.
Scan details: Circle-IR · 2026-09-19 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- cloud-infra
- Source
- PulseMCP
- Repository
- github.com/inspektor-gadget/ig-mcp-server
- Author type
- human
- Last scanned
- 2026-09-19
- Updated
- 2026-09-19
Use via MCP
Resolve Inspektor Gadget 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 --scope user for --scope project to commit it to .mcp.json.