# mcp-discogs

> mcp-discogs — pipeworx-io-mcp-discogs. Use this tool when you need to access a comprehensive database of music releases, artists, and labels. It solves problems related to music metadata management, research, and discovery, providing detailed information on various music releases. The tool accepts queries and outputs relevant data, ideal for use cases such as music cataloging, research, and recommendation systems.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-discogs  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-discogs

## Description

Discogs MCP — music release / artist / label database

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/pipeworx-io/mcp-discogs)

## 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": "pipeworx-io-mcp-discogs"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-discogs` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-discogs/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
