MCP Cluster Api

@linode

Basic information

About MCP Cluster Api

No overview available yet

#capi#mcp #kubernetes#cluster-management

MCP Cluster Api config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "capi-mcp": {
      "command": "/absolute/path/to/capi-mcp/bin/capi-mcp",
      "env": {
        "KUBECONFIG": "/absolute/path/to/your/kubeconfig.yaml"
      }
    }
  }
}

MCP Cluster Api tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Mcp Cluster Api?

capi-mcp is a tool that integrates Cluster API (CAPI) resources with the Model Context Protocol (MCP), enabling programmatic and prompt-based management of Kubernetes clusters and machines. It is designed for Kubernetes operators and developers who manage clusters declaratively using CAPI.

How to use Mcp Cluster Api?

Build the binary with make build (requires Go, Make, npm, kubectl, and a valid kubeconfig). Run the MCP inspector for testing: npx @modelcontextprotocol/inspector -e KUBECONFIG=kubeconfig.yaml bin/capi-mcp. For use with Claude Desktop or VSCode, add the server configuration to the respective MCP settings file, specifying the absolute path to the binary and the KUBECONFIG environment variable.

Key features of Mcp Cluster Api

List all CAPI clusters in your environment
Get detailed cluster information and kubeconfigs
Check upgrade eligibility for target Kubernetes versions
List and inspect machines across clusters
Perform control plane rollout (write operation, requires RBAC permissions)
Debugging prompts for cluster and machine issues

Use cases of Mcp Cluster Api

Querying the status of CAPI-managed clusters from AI assistants
Generating kubeconfigs for accessing workload clusters
Checking safe upgrade paths before version changes
Debugging cluster or machine issues with step-by-step guidance
Triggering control plane rolling updates in natural language

Frequently asked questions

What are the prerequisites to run this server?

Go 1.20+, Make, npm, kubectl, access to a Kubernetes cluster, and a valid `kubeconfig.yaml` file with appropriate permissions.

How do I install and build the server?

Clone the repository and run `make build` to compile the binary.

How do I use it with Claude Desktop?

Configure the server in Claude Desktop’s configuration file (`claude_desktop_config.json`) by adding the absolute path to the binary and setting the `KUBECONFIG` environment variable.

What tools does the server provide?

Tools include `list_clusters`, `get_cluster`, `get_cluster_kubeconfig`, `check_upgrade

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