# starsinger-mcp

> starsinger-mcp — starsinger-ai-starsinger-mcp. Use this tool when you need to access and manage AI-generated music tracks, leveraging the Model Context Protocol to search, stream, and browse the StarSinger AI music catalog with inputs such as search queries and outputs including relevant track results. It solves problems related to music discovery and streaming, particularly for AI-generated content. Ideal for use cases involving music exploration, recommendation, or integration with other AI models.

Canonical page: https://skillsregistry.net/skills/starsinger-ai-starsinger-mcp  
JSON: https://api.skillsregistry.net/v1/skills/starsinger-ai-starsinger-mcp

## Description

MCP server for the StarSinger AI music catalog — search, stream, and browse AI-generated tracks via Model Context Protocol

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-06-18

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** media
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/starsinger-ai/starsinger-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": "starsinger-ai-starsinger-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/starsinger-ai-starsinger-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/starsinger-ai-starsinger-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