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Vinkius

AcoustID Connector for AI agents.

5 live capabilities

Identify music tracks and fetch recording metadata from the AcoustID database.

Live agent request AcoustID / Connector

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AI Agent

Why people use AcoustID

AcoustID Music Recognition for Developers

With this Connector, your agent does the searching for you. Just tell it the song name or provide a fingerprint, and it pulls the metadata, IDs, and match scores instantly. You get a structured data source without the manual overhead.

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

What Vinkius changes

You get instant access to a massive music database without managing API keys.

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

One account · 5,900+ Connectors

  1. Real-world use case 01

    Identifying a track from a fingerprint

    A user has an audio fingerprint but doesn't know the song.

  2. Real-world use case 02

    Retrieving full album metadata

    A developer needs to know who is on a specific release.

  3. Real-world use case 03

    Finding multiple versions of a song

    A researcher needs to find all fingerprints for a specific track.

Complete set · 5capabilities

The complete AcoustID capability set.

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

Capability set01 / 02

01—03

3 capabilities in this set.

Part of 5 available through AcoustID.

  1. 01 Capability

    Get recording metadata

    This capability returns all associated MusicBrainz recordings, artists, and release groups for a specific AcoustID. It lets you pull full metadata to populate your own database quickly.

  2. 02 Capability

    Lookup by fingerprint

    Use this to identify a song by providing a fingerprint string and the audio duration. It returns the title, artist, and a match confidence score from the AcoustID database.

  3. 03 Capability

    Search by mbid

    This capability finds every AcoustID fingerprint linked to a specific MusicBrainz ID. It is the best way to locate different versions of the same song.

Capability set02 / 02

04—05

2 capabilities in this set.

Part of 5 available through AcoustID.

  1. 04 Capability

    Search by recording

    Find the AcoustID for a known song by searching for the artist name or recording title. This helps you bridge the gap between a known track and its unique identifier.

  2. 05 Capability

    Submit fingerprint

    Submit a new Chromaprint fingerprint and audio duration to the AcoustID database. You can optionally include the recording name and artist to expand the public library.

Set up in minutes

One URL. Then ask AcoustID to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use AcoustID 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_v9xbdNVZMV84BM5yK0z5ihjlFFBmKKCzfTUrJ6Gw/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 AcoustID, and paste the URL above.

  3. Step 03

    Turn it on in chat

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

Where the request belongs

Work AcoustID can move forward.

Built around the request

This is for music app developers who need to add song recognition features without building their own fingerprinting engine. It also serves data scientists mapping out music libraries and hobbyists organizing massive collections of unknown audio files.

01

Music App Developer

Integrating real-time song recognition into a streaming or audio player on a Tuesday afternoon.

02

Music Data Researcher

Mapping out relationships between artists, albums, and unique recording IDs for a research paper.

03

Digital Librarian

Organizing and tagging large quantities of audio files with accurate metadata for a personal archive.

Bring your own AI

Change the model, client or framework. Keep AcoustID 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 AcoustID.

The practical details behind the request, access and result.

Can I use AcoustID to identify songs without an API key?

Yes, you can perform basic lookups and identification without needing an API key. This makes it easy to start using the capability immediately for your projects.

Does AcoustID work like Shazam?

It uses the same audio fingerprinting technology as Shazam to identify music. It allows your agent to recognize tracks from audio data.

Can I find MusicBrainz IDs with this Connector?

Yes, you can find MusicBrainz IDs by searching for a specific recording or by retrieving the metadata for an existing AcoustID.

How do I add my own audio fingerprints?

You can submit new Chromaprint fingerprints to the database using the submission capability. This helps keep the music recognition database up to date.

Can my AI agent find multiple versions of a song?

Yes, by searching with a MusicBrainz ID, your agent can find every unique AcoustID fingerprint linked to that specific recording.

Is this good for building a music app?

It is ideal for developers who want to add song recognition and deep metadata retrieval to their apps without building a custom database.

Do I need an API key?

No! AcoustID's public API works without authentication using a default client key for basic lookups.

How does audio fingerprinting work?

AcoustID uses Chromaprint (fpcalc) to generate a fingerprint from audio. This fingerprint is matched against the database to identify the song. You need to run fpcalc on an audio file to get the fingerprint string.

What is MusicBrainz?

MusicBrainz is an open music encyclopedia that collects music metadata. AcoustID links audio fingerprints to MusicBrainz recordings, enabling song identification through the MusicBrainz ID (MBID).

One connection away

Give your agent a direct line to AcoustID.

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

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