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  • A
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    A read-only MCP server for Kubernetes that allows querying cluster information and diagnosing issues through natural language interfaces like Claude.
    Last updated
    8
    MIT
  • A
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    A lightweight MCP server that enables natural language interaction with Kubernetes clusters, allowing management of pods, deployments, namespaces, and cluster resources through conversational queries or API endpoints.
    Last updated
    1
    MIT
  • A
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    maintenance
    Allows executing shell commands within a secure Docker container through Claude's MCP interface, providing Kubernetes tools and isolated environment without host Docker daemon access.
    Last updated
    2
    104
    5
    MIT
  • A
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    A toolkit of 256 MCP servers for SRE incident diagnosis with Claude. One agent per tech (Postgres, Kafka, Istio, Kubernetes, Prometheus, MongoDB, Redis, Cassandra, ...) with failure modes, key metrics, and runbooks baked in. Plus telemetry MCPs (PromQL/LogQL/Elasticsearch), SSH-via-bastion executor, and 33 discovery adapters across 9 clouds. Apache 2.0, runs locally. Reproducible 5/5 scenari
    Last updated
    Apache 2.0
  • A
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    Enables LLMs like Claude to securely execute Kubernetes CLI tools (kubectl, helm, istioctl, argocd) across multiple clusters through dynamic kubeconfig support, allowing natural language Kubernetes management and operations.
    Last updated
    5
    MIT
  • A
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    quality
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    A Model Context Protocol server that enables AI assistants to interact with Kubernetes clusters through natural language, supporting core Kubernetes operations, monitoring, security, and diagnostics.
    Last updated
    121
    920
    MIT
  • A
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    quality
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    maintenance
    45+ first-class, OS and backend specific MCP tools that let AI coding agents create, manage, read, edit, and write files inside dev containers, keeping your machine clean and your environment reproducible and deploy-friendly. Use local Docker, GitHub Codespaces, Azure, AWS, Google Cloud or Kubernetes seamlessly!
    Last updated
    22
    MIT