# rancher-mcp-server

> Use this tool when you need to manage and deploy Kubernetes clusters, solving problems like infrastructure complexity and version control. It takes Git repositories as input and outputs managed Kubernetes clusters, providing a streamlined interface for cluster management. Use it in contexts where automated deployment and management of Kubernetes resources is required.

Canonical page: https://skillsregistry.net/skills/futuretea-rancher-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/futuretea-rancher-mcp-server

## Trust

- **Trust score (0–1):** 0.72
- **Verification tier:** verified
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/futuretea/rancher-mcp-server)
- **Repository:** <https://github.com/futuretea/rancher-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "futuretea-rancher-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/futuretea-rancher-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/futuretea-rancher-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt