mcp-capi

giantswarm/mcp-capi

3.2

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The MCP CAPI Server is a Model Context Protocol server designed to integrate AI assistants with Kubernetes cluster management via Cluster API.

Tools

  1. capi_create_cluster

    Create a new CAPI cluster

  2. capi_list_clusters

    List all clusters

  3. capi_get_cluster

    Get cluster details

  4. capi_delete_cluster

    Delete a cluster

  5. capi_scale_cluster

    Scale cluster nodes

MCP CAPI Server

A Model Context Protocol (MCP) server for Cluster API (CAPI), enabling seamless integration between Large Language Models (LLMs) and Kubernetes cluster management through CAPI.

Overview

The MCP CAPI Server provides a bridge between AI assistants (like Claude, GPT, etc.) and Cluster API, allowing natural language interactions for managing Kubernetes clusters across multiple infrastructure providers.

Features

  • Cluster Management: Create, update, scale, and delete Kubernetes clusters
  • Multi-Provider Support: Works with AWS, Azure, GCP, vSphere, and more
  • Machine Operations: Manage control plane and worker nodes
  • Real-time Monitoring: Watch cluster status changes and events
  • Resource Discovery: Browse CAPI resources through MCP resources
  • Guided Workflows: Interactive prompts for complex operations
  • Multi-Transport Support: Connect via stdio, Server-Sent Events (SSE), or Streamable HTTP
  • Enhanced CLI: Version management, self-update capability, and comprehensive help system
  • Backwards Compatible: Maintains compatibility with existing configurations and scripts

Architecture

The MCP CAPI Server is built using:

Quick Start

Prerequisites

  • Go 1.24.4 or later
  • Access to a CAPI management cluster
  • Kubeconfig configured for the management cluster

Installation

# Clone the repository
git clone https://github.com/giantswarm/mcp-capi.git
cd mcp-capi

# Build the server
make build

# Run the server
make run

Self-Update

The server includes a built-in self-update mechanism:

mcp-capi self-update

Usage

CLI Commands

The MCP server provides several commands:

$ mcp-capi --help
mcp-capi is a Model Context Protocol (MCP) server that provides
tools for interacting with Cluster API (CAPI) clusters. It offers various capabilities
including cluster management, machine operations, scaling, and infrastructure 
provider management.

When run without subcommands, it starts the MCP server (equivalent to 'mcp-capi serve').

Usage:
  mcp-capi [command]

Available Commands:
  completion  Generate the autocompletion script for the specified shell
  help        Help about any command
  self-update Update mcp-capi to the latest version
  serve       Start the MCP CAPI server
  version     Print the version number of mcp-capi

Flags:
  -h, --help      help for mcp-capi
  -v, --version   version for mcp-capi

Use "mcp-capi [command] --help" for more information about a command.

Basic Usage (Backwards Compatible)

Start the MCP server with default settings using stdio transport:

# Both commands are equivalent and start the server
mcp-capi
mcp-capi serve

Multi-Transport Support

The server supports three transport types for different deployment scenarios:

Standard I/O (Default)

Best for MCP client integrations and development:

mcp-capi serve --transport stdio
Server-Sent Events (SSE)

Ideal for web applications and browser-based clients:

mcp-capi serve --transport sse --http-addr :8080
Streamable HTTP

Perfect for HTTP-based integrations and REST-like interactions:

mcp-capi serve --transport streamable-http --http-addr :8080

Advanced Configuration Examples

# Run with SSE transport on custom port with custom endpoints
mcp-capi serve \
  --transport sse \
  --http-addr :9090 \
  --sse-endpoint /events \
  --message-endpoint /messages

# Run with streamable HTTP transport
mcp-capi serve \
  --transport streamable-http \
  --http-addr :8080 \
  --http-endpoint /api/mcp

Version Management

# Check current version
mcp-capi version
mcp-capi --version

# Update to latest version
mcp-capi self-update

Integration with AI Assistants

This MCP server can be integrated with various AI assistants that support the Model Context Protocol:

  • Cursor: The server can be integrated with Cursor for AI-powered development
  • VSCode Insiders: Compatible with VSCode Insiders for enhanced coding assistance
  • Claude Desktop: Add the server to your Claude Desktop configuration
  • Custom MCP Clients: Use any MCP-compatible client to connect

Example MCP Client Configuration

Standard I/O Transport (Recommended)
{
  "servers": {
    "capi": {
      "command": "/path/to/mcp-capi",
      "env": {
        "KUBECONFIG": "/path/to/kubeconfig"
      }
    }
  }
}
SSE Transport
{
  "servers": {
    "capi": {
      "url": "http://localhost:8080/sse",
      "transport": "sse"
    }
  }
}
Streamable HTTP Transport
{
  "servers": {
    "capi": {
      "url": "http://localhost:8080/mcp",
      "transport": "http"
    }
  }
}

Available Tools

Cluster Management

  • capi_create_cluster - Create a new CAPI cluster
  • capi_list_clusters - List all clusters
  • capi_get_cluster - Get cluster details
  • capi_delete_cluster - Delete a cluster
  • capi_scale_cluster - Scale cluster nodes

Machine Management

  • capi_list_machines - List machines
  • capi_get_machine - Get machine details
  • capi_delete_machine - Delete a specific machine
  • capi_remediate_machine - Trigger machine health check remediation

MachineDeployment Operations

  • capi_create_machinedeployment - Create new worker node pool
  • capi_list_machinedeployments - List machine deployments
  • capi_scale_machinedeployment - Scale worker nodes
  • capi_update_machinedeployment - Update MachineDeployment configuration
  • capi_rollout_machinedeployment - Trigger rolling update

MachineSet Operations

  • capi_list_machinesets - List machine sets
  • capi_get_machineset - Get machine set details

Node Operations

  • capi_drain_node - Safely drain a node
  • capi_cordon_node - Cordon/uncordon nodes
  • capi_node_status - Get node status from workload cluster

Infrastructure Provider Tools

Generic
  • capi_list_infrastructure_providers - List available providers
  • capi_get_provider_config - Get provider configuration requirements
AWS
  • capi_aws_list_clusters - List AWS clusters
  • capi_aws_get_cluster - Get AWS cluster details
  • capi_aws_create_cluster - Create AWS cluster (placeholder)
  • capi_aws_update_vpc - Update VPC configuration (placeholder)
  • capi_aws_manage_security_groups - Manage security groups (placeholder)
  • capi_aws_get_machine_template - Get/list AWS machine templates
Azure
  • capi_azure_list_clusters - List Azure clusters
  • capi_azure_get_cluster - Get Azure cluster details
  • capi_azure_manage_resource_group - Manage resource groups (placeholder)
  • capi_azure_network_config - Configure Azure networking (placeholder)
GCP
  • capi_gcp_list_clusters - List GCP clusters
  • capi_gcp_get_cluster - Get GCP cluster details
  • capi_gcp_manage_network - Manage GCP networks (placeholder)
vSphere
  • capi_vsphere_list_clusters - List vSphere clusters
  • capi_vsphere_get_cluster - Get vSphere cluster details
  • capi_vsphere_manage_vms - Manage vSphere VMs (placeholder)

Resources

The server exposes CAPI data through MCP resources:

  • capi://clusters - List of all clusters
  • capi://clusters/{name} - Specific cluster details
  • capi://machines - List of all machines
  • capi://providers - Available infrastructure providers

Configuration

The server can be configured through environment variables:

  • KUBECONFIG - Path to kubeconfig file
  • LOG_LEVEL - Logging level (debug, info, warn, error)

Deployment

Docker

You can run the server in a Docker container:

FROM golang:1.24.4-alpine AS builder
WORKDIR /app
COPY . .
RUN go build -o mcp-capi

FROM alpine:latest
RUN apk --no-cache add ca-certificates
WORKDIR /root/
COPY --from=builder /app/mcp-capi .
EXPOSE 8080
CMD ["./mcp-capi", "serve", "--transport", "sse", "--http-addr", ":8080"]

Systemd Service

Create a systemd service for automatic startup:

[Unit]
Description=MCP CAPI Server
After=network.target

[Service]
Type=simple
User=capi
ExecStart=/usr/local/bin/mcp-capi serve
Environment=KUBECONFIG=/etc/kubernetes/admin.conf
Restart=always
RestartSec=5

[Install]
WantedBy=multi-user.target

Development

Project Structure

mcp-capi/
ā”œā”€ā”€ cmd/                    # Command implementations
ā”‚   ā”œā”€ā”€ root.go            # Root Cobra command
ā”‚   ā”œā”€ā”€ serve.go           # Server command with multi-transport support
ā”‚   ā”œā”€ā”€ version.go         # Version command
ā”‚   ā”œā”€ā”€ selfupdate.go      # Self-update command
ā”‚   ā”œā”€ā”€ doc.go             # Package documentation
ā”‚   ā””ā”€ā”€ *.go               # Tool handlers and server logic
ā”œā”€ā”€ pkg/                   # Public packages
ā”‚   ā”œā”€ā”€ capi/             # CAPI client and utilities
ā”‚   ā”œā”€ā”€ tools/            # MCP tool implementations
ā”‚   ā”œā”€ā”€ resources/        # MCP resource handlers
ā”‚   ā””ā”€ā”€ prompts/          # MCP prompt definitions
ā”œā”€ā”€ internal/             # Private packages
ā”œā”€ā”€ docs/                 # Documentation
ā””ā”€ā”€ examples/             # Usage examples

Building

# Build for current platform
make build

# Build for multiple platforms
make release

# Run tests
make test

# Run with coverage
make test-coverage

Contributing

Please see for guidelines on how to contribute to this project.

License

This project is licensed under the Apache License 2.0 - see the file for details.

Issues and Support

Roadmap

See our GitHub Issues for the complete roadmap and planned features.