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.
@linode
基本信息
暂无概览
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"capi-mcp": {
"command": "/absolute/path/to/capi-mcp/bin/capi-mcp",
"env": {
"KUBECONFIG": "/absolute/path/to/your/kubeconfig.yaml"
}
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
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.
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.
Go 1.20+, Make, npm, kubectl, access to a Kubernetes cluster, and a valid `kubeconfig.yaml` file with appropriate permissions.
Clone the repository and run `make build` to compile the binary.
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.
Tools include `list_clusters`, `get_cluster`, `get_cluster_kubeconfig`, `check_upgrade

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