# mcp-musicbrainz

> mcp-musicbrainz — zas-mcp-musicbrainz. Use this tool when you need to access music metadata or query the MusicBrainz database for information on artists, albums, or recordings. It solves problems related to music discovery, metadata retrieval, and data enrichment for music-related applications. The tool accepts search queries as input and returns relevant music data as output, making it a useful interface for AI assistants and music-related projects.

Canonical page: https://skillsregistry.net/skills/zas-mcp-musicbrainz  
JSON: https://api.skillsregistry.net/v1/skills/zas-mcp-musicbrainz

## Description

An MCP (Model Context Protocol) server that provides tools for querying the MusicBrainz music database. Search for artists, albums, recordings, labels, and more — directly from your AI assistant.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/zas/mcp-musicbrainz)

## 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": "zas-mcp-musicbrainz"
    }
  }
}
```

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