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Vinkius

MusicBrainz Connector for AI agents.

10 live capabilities

Access deep music metadata and discographies for research or data analysis.

Live agent request MusicBrainz / Connector

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AI Agent

Why people use MusicBrainz

MusicBrainz for Music Metadata Research

With this Connector, you just ask your agent to pull the data. It handles the heavy lifting by querying the global music database to give you exactly what you need in a single response. You get clean, structured information without the clicking.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a direct line to a massive music database without the manual search.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 5,900+ Connectors

  1. Real-world use case 01

    Verifying release dates

    A journalist asks for the label and release date of a specific 1970s recording.

  2. Real-world use case 02

    Building datasets

    A data scientist pulls all releases for 500 different artists to create a training set.

  3. Real-world use case 03

    Organizing a library

    A fan wants to tag all of their jazz records with custom genre labels.

Complete set · 10capabilities

The complete MusicBrainz capability set.

These are the exact actions your AI can choose when you ask it to work with MusicBrainz.

Capability set01 / 03

01—04

4 capabilities in this set.

Part of 10 available through MusicBrainz.

  1. 01 Capability

    Add collection items

    Save music to your personal collection. You can use this to build a custom library through your agent.

  2. 02 Capability

    Browse entities

    Find all releases or labels linked to a specific artist or work. This makes it easy to see a full discography in one go.

  3. 03 Capability

    Lookup discid

    Get details for a physical CD using its unique DiscID. This is perfect for identifying specific physical media.

  4. 04 Capability

    Lookup entity

    Get full metadata for any entry using its unique MusicBrainz Identifier. This is the fastest way to get deep data on a specific record.

Capability set02 / 03

05—07

3 capabilities in this set.

Part of 10 available through MusicBrainz.

  1. 05 Capability

    Search entities

    Run complex Lucene queries to find specific artists, albums, or tracks. It allows for very specific filtering of the music database.

  2. 06 Capability

    Lookup isrc

    Identify a specific recording using its ISRC code. Use this to get accurate data for a specific audio track.

  3. 07 Capability

    Lookup iswc

    Retrieve information about a musical work using its ISWC. This helps you find details about a song's composition.

Capability set03 / 03

08—10

3 capabilities in this set.

Part of 10 available through MusicBrainz.

  1. 08 Capability

    Remove collection item

    Delete an item from your personal collection. This helps you keep your music library current and tidy.

  2. 09 Capability

    Submit ratings

    Post a rating for a specific release. Use this to keep your personal music scores updated automatically.

  3. 10 Capability

    Submit tags

    Add custom tags to a release to keep your collection organized. This allows for better sorting of your personal music data.

Set up in minutes

One URL. Then ask MusicBrainz to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use MusicBrainz from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_VSWaEi4VGQ0vcbUhTGVkhcGKQ7dL0j42J7Ykjy6O/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it MusicBrainz, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable MusicBrainz for the conversation.

Where the request belongs

Work MusicBrainz can move forward.

Built around the request

Who wakes up in the morning needing this? Music researchers who need to verify credits, data scientists building music datasets, and enthusiasts organizing massive personal libraries.

01

Music Journalist

Verifies release dates, artist credits, and label history for upcoming articles.

02

Data Scientist

Pulls structured music metadata to build datasets for analysis or training.

03

Music Enthusiast

Organizes a massive personal music library and manages custom ratings and tags.

04

Music Historian

Archives detailed discographies and researches obscure historical recordings.

Bring your own AI

Change the model, client or framework. Keep MusicBrainz connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about MusicBrainz.

The practical details behind the request, access and result.

Can I use MusicBrainz MCP to find artist biographies?

Yes, you can use this Connector to pull detailed biographical information and discographies for any artist in the database.

Does MusicBrainz MCP work for identifying obscure tracks?

It does. You can use specific identifiers like ISRC codes to find information on even the most niche or obscure recordings.

How do I manage my collection with MusicBrainz MCP?

You can use your agent to add items to your personal library, remove them, and submit your own ratings or custom tags.

Can I search for specific album IDs with MusicBrainz MCP?

Yes, you can query specific MusicBrainz Identifiers to get deep metadata on any release in the global encyclopedia.

Is MusicBrainz MCP good for music data science?

It's excellent for data science because it provides structured access to music metadata, making it easy to pull large amounts of data for analysis.

Can I use MusicBrainz MCP to find label information?

Yes, you can browse entities to see which labels are associated with specific artists, albums, or recordings.

Does MusicBrainz MCP support ISRC and ISWC codes?

Yes, the Connector includes specific capabilities to look up recordings by ISRC and musical works by ISWC.

How do I search for a specific artist if I don't have their MBID?

Use the search_entities capability. Set the entity_type to 'artist' and provide the name in the query field. The agent will return a list of matches with their respective MBIDs.

Can I see all the recordings (songs) on a specific album?

Yes! Use the lookup_entity capability with the release MBID and include 'recordings' in the inc parameter. This will fetch the full tracklist and metadata for that release.

Do I need an account to search the database?

No. Searching and looking up data only requires a MUSICBRAINZ_USER_AGENT. An Access Token is only needed for actions like submit_tags, submit_ratings, or add_collection_items.

One connection away

Give your agent a direct line to MusicBrainz.

Connect MusicBrainz once. Keep it beside 5,900+ managed Connectors when the next task needs more.

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