Kubernetes Claude MCP Server integrates Claude's AI capabilities with Kubernetes, ArgoCD, and GitLab to provide AI-powered analysis and troubleshooting for GitOps workflows. Built with Go, it collects comprehensive information about Kubernetes resources, correlates data across systems, and presents structured context to Claude for intelligent analysis. The server features a RESTful API for querying resources, analyzing deployments, and troubleshooting issues, making it particularly valuable for DevOps teams seeking to understand complex Kubernetes environments, identify root causes of failures, and receive actionable recommendations for GitOps pipeline improvements.
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Check the health of the server. Method: GET, Endpoint: /api/v1/health
Retrieve a list of all namespaces in the Kubernetes cluster. Method: GET, Endpoint: /api/v1/namespaces
List all resources of a specific kind in a specified namespace. Method: GET, Endpoint: /api/v1/resources/{kind}?namespace={ns}
Get details of a specific resource in a specified namespace. Method: GET, Endpoint: /api/v1/resources/{kind}/{name}?namespace={ns}
Retrieve events associated with a specific resource in a namespace. Method: GET, Endpoint: /api/v1/events?namespace={ns}&resource={kind}&name={name}
List all applications managed by ArgoCD. Method: GET, Endpoint: /api/v1/argocd/applications
Analyze a specific resource based on the provided details. Method: POST, Endpoint: /api/v1/mcp/resource
Troubleshoot a specific resource based on the provided details. Method: POST, Endpoint: /api/v1/mcp/troubleshoot
Commit the analysis results to GitLab. Method: POST, Endpoint: /api/v1/mcp/commit
Send a generic request to the MCP server. Method: POST, Endpoint: /api/v1/mcp