kube-mcp
Kubernetes MCP
设置
本地安装 MCP
$ uv pip install .配置 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验证扩展是否处于活动状态
$ 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
发展
激活虚拟环境
$ .venv/bin/activate以开发模式运行 MCP 服务器
$ uv run mcp dev kube_mcp/server.pyThis server cannot be installed
A
license - permissive license-
quality - not testedD
maintenanceMaintenance
–Maintainers
–Response time
–Release cycle
–Releases (12mo)
Commit activity
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Appeared in Searches
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/yurinnick/kube-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server
