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martinimarcello00

K8s Observability MCP

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      Enables read-only, stack-aware diagnostics for microservices on Kubernetes, turning debugging runbooks into conversational tools that investigate slow requests, changes, leaks, and in-pod conditions without exposing cluster credentials.
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      Gives AI assistants read-only access to a Kubernetes cluster's observability stack — Loki, Prometheus, Tempo, the Kubernetes API — plus AWS telemetry from CloudTrail, Config, ECR, and RDS. 23 tools for querying logs, metrics, traces, Kubernetes events, deployments, and audit history in plain language.
      23
      Apache 2.0
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      Enables developers to investigate request failures by querying Prometheus metrics, Loki logs, and Tempo traces without opening Grafana, while supporting read-only access and optional Grafana annotations.
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      Enables querying Prometheus metrics, performing cluster diagnostics, and analyzing resource usage through natural language, with automatic Kubernetes connectivity.
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      Enables AI agents to query Prometheus metrics and Loki logs for intelligent alert investigation and troubleshooting. Provides service discovery, metric querying, log searching, and correlation tools to help identify root causes of issues.
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      Enables agents to inspect Kubernetes cluster, node, and pod status, run bounded log searches with surrounding context, triage Davis problems and alerts, query metrics and traces, and review security and compliance summaries. It runs locally over stdio against any Dynatrace SaaS/Grail tenant using configurable connections and filters rather than hardcoded scopes.
      38
      MIT