ig-mcp-server

Name: ig-mcp-server Review
Item: ig-mcp-server
Rating: 2.8
Author: Aaron Matthews

Connector Infrastructure Usable

Works inClaude Code Claude Cowork Claude Chat

Usable Scanned — metadata only

Reduces mean-time-to-resolution for container and Kubernetes issues by enabling AI-assisted debugging without context switching.

Debug your Container and Kubernetes workloads with an AI interface

Ask Claude to analyze container logs and identify the root cause of a crash.
Generate debugging commands to trace network traffic between Kubernetes pods.
Automate troubleshooting of performance issues in containerized applications.

27 starsApache-2.0 (commercial OK)FreeNo code needed

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Reduces mean-time-to-resolution for container and Kubernetes issues by enabling AI-assisted debugging without context switching. Bridges visibility gaps in production workload behavior that traditional monitoring tools often miss.

Best for

DevOps and platform engineers troubleshooting container performance issues and Kubernetes cluster anomalies.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/inspektor-gadget/ig-mcp-server

By inspektor-gadget

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.

Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.

Command

claude mcp add ig-mcp-server -- npx -y ig-mcp-server

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

Once it’s connected, paste this into Claude:

Analyze container logs and identify the root cause of a crash

CostFree

Trust Signals Auto-scanned

Stars27Last updated2026-08-03LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-03 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 27 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

Things to check

Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

2/5

Reliability

3/5

Security

3/5

Overall score2.75 / 5.00 UsableEvaluatedAug 2026

Scored from trust signals (evidence-eval-v1): 27 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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