inspektor-gadget/ig-mcp-server
Debug your Container and Kubernetes workloads with an AI interface
This project helps operations engineers and site reliability engineers troubleshoot complex issues in Kubernetes by turning raw, low-level kernel data into clear, actionable root cause analyses. You provide natural language prompts to an AI assistant, which then uses this server to collect and interpret real-time network, process, and system call data from your cluster. The result is a precise explanation of what went wrong, without manually sifting through dense logs.
Use this if you need to quickly diagnose elusive problems in your Kubernetes clusters, relying on AI to interpret deep kernel observability data and pinpoint root causes.
Not ideal if you are looking for traditional metrics, logs, or high-level resource monitoring, as this focuses specifically on deep kernel-level event tracing and AI-driven analysis.
Stars
22
Forks
2
Language
Go
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Commits (30d)
0
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