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URL: https://glama.ai/mcp/servers/yurinnick/kube-mcp?locale=ru-RU

⇱ Kubernetes MCP by yurinnick | Glama


kube-mcp

Kubernetes MCP

Настраивать

  1. Установить Goose CLI

  2. Установить MCP локально

$ uv pip install .
  1. Настройка Goose CLI

$ 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
  1. Убедитесь, что расширение активно

$ 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://context

Related MCP server: kube-mcp

Разработка

  1. Активировать виртуальную среду

$ .venv/bin/activate
  1. Запустить сервер MCP в режиме разработки

$ uv run mcp dev kube_mcp/server.py
A
license - permissive license
-
quality - not tested
D
maintenance

Maintenance

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