MCP CAPI
MCP server for Cluster API (CAPI) - Model Context Protocol integration for managing Kubernetes clusters through CAPI
What is MCP CAPI?
MCP CAPI is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to mcp server for cluster api (capi) - model context protocol integration for managing kubernetes clusters through capi
MCP server for Cluster API (CAPI) - Model Context Protocol integration for managing Kubernetes clusters through CAPI
This server falls under the Cloud Services and APIs categories on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- MCP server for Cluster API (CAPI) - Model Context Protocol i
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx mcp-capiConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
Frequently Asked Questions about MCP CAPI
What is MCP CAPI?
MCP CAPI is a Model Context Protocol (MCP) server that mcp server for cluster api (capi) - model context protocol integration for managing kubernetes clusters through capi It connects AI assistants to external tools and data sources through a standardized interface.
How do I install MCP CAPI?
Follow the installation instructions on the MCP CAPI GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with MCP CAPI?
MCP CAPI works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is MCP CAPI free to use?
Yes, MCP CAPI is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Set Up MCP CAPI in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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