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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Highlight AICheck the health status of the server. Endpoint: GET /api/v1/health
Retrieve a list of all namespaces in the Kubernetes cluster. Endpoint: GET /api/v1/namespaces
Get a list of resources of a specific kind in a given namespace. Endpoint: GET /api/v1/resources/{kind}?namespace={ns}
Fetch details of a specific resource by its name in a given namespace. Endpoint: GET /api/v1/resources/{kind}/{name}?namespace={ns}
Retrieve events associated with a specific resource in a namespace. Endpoint: GET /api/v1/events?namespace={ns}&resource={kind}&name={name}
Get a list of applications managed by ArgoCD. Endpoint: GET /api/v1/argocd/applications
Analyze a resource in the Kubernetes cluster. Endpoint: POST /api/v1/mcp/resource
Troubleshoot a resource by querying the MCP server. Endpoint: POST /api/v1/mcp/troubleshoot
Submit an analysis commit to GitLab. Endpoint: POST /api/v1/mcp/commit
Make a generic request to the MCP server. Endpoint: POST /api/v1/mcp
