# rube-mcp

> Use this tool when you need to process and generate text based on given inputs, solving problems related to language understanding and content creation. It takes in text prompts and parameters, and outputs generated text, making it a useful interface for applications such as writing assistance and language translation. Ideal for use cases where automated text generation is required, such as content creation, language learning, and data analysis.

Canonical page: https://skillsregistry.net/skills/karan-v-rube-mcp  
JSON: https://api.skillsregistry.net/v1/skills/karan-v-rube-mcp

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/karan.v/rube-mcp)

## 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": "karan-v-rube-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/karan-v-rube-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/karan-v-rube-mcp/pull`

---
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