Integrate AcoustID with Claude, Cursor, Chatbots & AI Agents MCP Server

Identify songs by audio fingerprint — like Shazam for developers. Search recordings by name, artist or MusicBrainz ID.

GDPR Free for Subscribers

Compatible with every major AI agent and IDE

Claude

ChatGPT

Cursor

Gemini

Windsurf

VS Code

JetBrains

Vercel

+ other MCP clients

get

Get recording metadata on AcoustID

Returns all associated MusicBrainz recordings, artists, release groups and fingerprints linked to this AcoustID. Get full metadata for a recording by AcoustID

lookup

Lookup by fingerprint on AcoustID

Returns matching recordings from the AcoustID database with song titles, artists, MusicBrainz IDs and match confidence scores. Requires the fingerprint string and audio duration in seconds. Use meta="recordings" for full recording details. Identify a song by audio fingerprint

Search by mbid on AcoustID

Returns all AcoustID fingerprints linked to that MusicBrainz recording, useful for finding multiple audio fingerprints of the same song. Search for AcoustIDs by MusicBrainz ID

Search by recording on AcoustID

Returns matching recordings with AcoustID, MusicBrainz ID, title and artist name. Useful for finding the AcoustID of a known song. Search for recordings by name and/or artist

submit

Submit fingerprint on AcoustID

Requires the Chromaprint fingerprint string and audio duration. Optionally include recording name and artist for new songs. Returns the newly created AcoustID. Submit an audio fingerprint to AcoustID

Security & Code Integrity Audit

Every tool in the AcoustID MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.

A+Score: 100

How Vinkius protects your data

Is there a risk of the AI "going crazy" and deleting important company data?

No. With Vinkius, the AI operates on "rails". It can only make the exact moves you authorized in the tool's settings. It cannot invent routes, access other networks in your company, or decide to delete random files. If the action isn't in the approved catalog, the attempt is blocked instantly.

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.

How does the AI access my passwords and credentials?

It simply doesn't. On Vinkius, your passwords, API keys, and login details are kept in a secure vault. The AI (like ChatGPT or Claude) merely "asks" Vinkius to perform the task. Vinkius opens the door, does the work, and hands the result back to the AI. Your credentials are never seen, read, or learned by the artificial intelligence.

What if the AI ends up reading customer data or confidential information?

We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.

What can AI Agents do with AcoustID?

Build automated workflows with Cursor and Claude Code by connecting to the AcoustID MCP server.

Automating audio fingerprinting with AI

Integrate the AcoustID server to handle audio fingerprinting requests natively. It provides the schemas required for ChatGPT and Cursor to manage artificial intelligence data.

Prompting music identification Workflows

Connect AcoustID to provide your chatbots with music identification capabilities. The integration manages the backend execution for artificial intelligence workflows.

AcoustID. Runs on everything.

From IDE to framework. Every connection governed by Vinkius.

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