# muse-mcp

> muse-mcp — rishi-golla-muse-mcp. Use this tool when you need to enhance AI agents with creative capabilities, solving problems that require innovative thinking and idea generation. The muse-mcp tool provides a creativity layer that integrates with AI systems, accepting input parameters and generating novel output solutions. Ideal for use cases where unique solutions are required, such as art, design, or complex problem-solving.

Canonical page: https://skillsregistry.net/skills/rishi-golla-muse-mcp  
JSON: https://api.skillsregistry.net/v1/skills/rishi-golla-muse-mcp

## Description

Creativity Layer for AI Agents

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/rishi-golla/muse-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": "rishi-golla-muse-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rishi-golla-muse-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rishi-golla-muse-mcp/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