-
security-
license-
qualityThis project is intended as a both MCP server connecting to Kubernetes and a library to build more servers for any custom resources in Kubernetes.
Last updated -
347
MIT License
kube-mcp
쿠버네티스 MCP
설정
Goose CLI 설치
MCP를 로컬로 설치하세요
지엑스피1
Goose CLI 구성
$ 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
확장 프로그램이 활성화되어 있는지 확인하세요
$ 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
개발
가상 환경 활성화
$ .venv/bin/activate
개발 모드에서 MCP 서버 실행
$ uv run mcp dev kube_mcp/server.py
This server cannot be installed
local-only server
The server can only run on the client's local machine because it depends on local resources.
Goose CLI와 같은 자연어 인터페이스를 통해 Kubernetes 리소스와 상호 작용할 수 있는 MCP 서버를 통해 사용자는 Kubernetes 리소스를 가져오고, 읽고, 패치할 수 있습니다.
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