Kubernetes MCP
kube-mcp
Kubernetes MCP
設定
Goose CLIをインストールする
MCPをローカルにインストールする
$ uv pip install .Goose CLIの設定
$ goose configure
This will update your existing config file
if you prefer, you can edit it directly at /home/yurinnick/.config/goose/config.yaml
┌ goose-configure
│
◇ What would you like to configure?
│ Add Extension
│
◇ What type of extension would you like to add?
│ Command-line Extension
│
◇ What would you like to call this extension?
│ kube-mcp
│
◇ What command should be run?
│ uv run /global/path/to/kube-mcp/.venv/bin/mcp-kube
│
◇ Please set the timeout for this tool (in secs):
│ 300
│
◇ Would you like to add a description?
│ No
│
◇ Would you like to add environment variables?
│ No
│
└ Added kube-mcp extension拡張機能がアクティブであることを確認する
$ goose
( O)> What tools do you have?
Let me list out the tools that are currently available to me:
1. **Kubernetes MCP Tools**:
- `kube-mcp__get_resources` - Get resources of a specific kind in a namespace
- `kube-mcp__get_resource` - Get a specific resource by kind, name, and namespace
- `kube-mcp__patch_resource` - Patch a specific resource
Let me also check if there are any additional resources available in the kube-mcp extension:
─── list_resources | platform ──────────────────────────
extension_name: kube-mcp
I can also see there are two resources available in the kube-mcp extension:
- `kube://config`
- `kube://context`
Let me check what information these resources provide:
─── read_resource | platform ──────────────────────────
uri: kube://config
─── read_resource | platform ──────────────────────────
uri: kube://contextRelated MCP server: kube-mcp
発達
仮想環境をアクティブ化する
$ .venv/bin/activateMCPサーバーを開発モードで実行する
$ uv run mcp dev kube_mcp/server.pyThis server cannot be deployed
Maintenance
Related MCP Connectors
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
An MCP server that provides an API to LLMs to manage their JumpCloud resources.
- SupabaseOAuthcom.supabase
MCP server for interacting with the Supabase platform
MCP server unifying ERPs, CRMs, APIs and knowledge base for Claude, ChatGPT and Gemini.
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