
Connect AcoustID to ChatGPT, Claude and Gemini
Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Turn raw audio into structured, searchable music metadata.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Your AI does the work. We keep it safe and sound.
No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.
Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

Each Connector runs inside its own sealed environment.
Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.
One switch stops every agent. Instantly.
One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.
Spending limits that pause instead of surprise.
Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.
Three controls, built into the layer your AI connects through.
Curated set · 5 capabilities
We ship only the actions that matter.
01-03
3 capabilities in this set.
Part of 5 available through AcoustID.
- 01
Search by mbid
If you have a MusicBrainz ID, use this capability to find all associated AcoustID fingerprints. This is helpful when you need multiple fingerprints for the same song.
- 02
Search by recording
Use this capability to find matching recordings by a known title or artist name. It returns the AcoustID and MusicBrainz ID, which is useful for finding the ID of a song you already know.
- 03
Submit fingerprint
Submit a new audio fingerprint string and its duration here. This capability creates a new AcoustID, expanding the database for unknown songs.
04-05
2 capabilities in this set.
Part of 5 available through AcoustID.
- 04
Get recording metadata
Provide an AcoustID to retrieve all associated metadata. This includes details about the artists, release groups, and all linked fingerprints for that recording.
- 05
Lookup by fingerprint
Identify a song by providing its audio fingerprint string and duration in seconds. The capability returns matching recordings, including titles, artists, and a match confidence score.
Real work
What teams actually run
Building a Shazam Clone
Use lookup_by_fingerprint to allow users to identify music simply by playing a short clip.
Music Library Enrichment
When a user uploads a song, use get_recording_metadata to automatically pull full details like the original album and artist group.
Cross-Referencing IDs
If you only have a MusicBrainz ID, use search_by_mbid to find all possible fingerprints for that song.
Content Moderation
Check if a piece of uploaded audio matches known copyrighted recordings using fingerprint lookups.
Automate a task
Put AcoustID to work on one thing.
Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.
One connector, every AI
AcoustID works with the most popular AI clients.
These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.
Claude
ChatGPT
Gemini
Perplexity
Grok
Microsoft Copilot
Cursor
VS Code
Windsurf
JetBrains
Cline
LangChain
Vercel AI SDK
Lovable
Z.ai
Raycast
Qwen Code
Kimi Code
Le ChatBuilding your own app? The connector is yours to use.
You don't need a client to put AcoustID to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.
Observed, not estimated
884ms average. Fast in production.
AcoustID is checked daily against the live service.
- Fastest day
- 632ms
- Slowest day
- 1330ms
- 14-day trend
- Slowing+42%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 5 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of AcoustID, so you can see the experience inside your AI.
It does not authenticate your account with AcoustID. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
AcoustID Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_v9xbdNVZMV84BM5yK0z5ihjlFFBmKKCzfTUrJ6Gw/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — AcoustID capabilities are ready to use.
{
"mcpServers": {
"acoustid-mcp": {
"url": "https://edge.vinkius.com/vk_preview_v9xbdNVZMV84BM5yK0z5ihjlFFBmKKCzfTUrJ6Gw/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
Guided setup for Claude? Set up AcoustID in Claude and other AIs
Who it's for
Built for the work AcoustID owners hand off.
This MCP is built for developers creating music-related applications. If your product needs to analyze audio, verify song details, or track music history, this is the capability you need. It handles the complex data mapping between fingerprints, titles, and IDs.
- 01
Music App Developers
Integrate song identification into audio players or streaming services.
- 02
Audio Researchers
Analyze audio fingerprints and MusicBrainz recording data for academic or commercial study.
- 03
Metadata Analysts
Retrieve full, structured metadata for recordings, including artist and release group details.
FAQ
Questions AcoustID owners ask.
- 01
Do I need an API key to use this MCP?
No, you do not need an API key for basic lookups. Vinkius manages the connection, allowing your AI client to use the core identification features immediately.
- 02
What kind of data do I get back?
You get structured data including the AcoustID, MusicBrainz ID, song title, artist name, and match confidence scores. The metadata capability provides even more detail, like release groups.
- 03
Can I use this for live audio?
The capability requires you to submit the audio fingerprint string and the audio duration in seconds. Your agent needs this specific data to perform the identification.
- 04
Is this just a directory of music data?
No, it's a fully hosted, ready-to-use MCP. Vinkius manages the connection, so you just connect your AI client and start using the capabilities instantly.
- 05
Do I need an API key?
No! AcoustID's public API works without authentication using a default client key for basic lookups.
- 06
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.
- 07
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).
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Connect AcoustID to Claude, Cursor, ChatGPT & more
