# Inspektor Gadget

> Use this tool when you need to troubleshoot and inspect Kubernetes clusters with ease, as it provides intelligent debugging and monitoring capabilities through natural language commands. It solves problems such as cluster issues, network traffic monitoring, and performance bottleneck analysis, and accepts conversational input while outputting summarized insights. It is ideal for use in development and deployment environments where real-time system monitoring and automated gadget discovery are crucial.

Canonical page: https://skillsregistry.net/skills/inspektor-gadget  
JSON: https://api.skillsregistry.net/v1/skills/inspektor-gadget

## Description

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.

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/inspektor-gadget)
- **Repository:** <https://github.com/inspektor-gadget/ig-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "inspektor-gadget"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/inspektor-gadget` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/inspektor-gadget/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt