AcoustID Connector for AI agents.
5 live capabilities
Identify music tracks and fetch recording metadata from the AcoustID database.
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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.
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
- Real-world use case 01
Identifying a track from a fingerprint
A user has an audio fingerprint but doesn't know the song.
- Real-world use case 02
Retrieving full album metadata
A developer needs to know who is on a specific release.
- 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.
01—03
3 capabilities in this set.
Part of 5 available through AcoustID.
- 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.
- 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.
- 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.
04—05
2 capabilities in this set.
Part of 5 available through AcoustID.
- 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.
- 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 previewAdvanced clients IDE · CLI
Claude · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_v9xbdNVZMV84BM5yK0z5ihjlFFBmKKCzfTUrJ6Gw/mcp - Step 01
Open Connectors
In Claude Web or Claude Desktop, open Settings and choose Connectors.
- Step 02
Add the URL
Choose Add custom connector, name it AcoustID, and paste the URL above.
- Step 03
Turn it on in chat
Select +, open Connectors, and enable AcoustID for the conversation.
ChatGPT · Web + desktop
Connector URL · ready to paste
Streamable HTTPhttps://edge.vinkius.com/vk_preview_v9xbdNVZMV84BM5yK0z5ihjlFFBmKKCzfTUrJ6Gw/mcp - Step 01
Open MCP settings
On desktop, open Settings and MCP servers. On web, open your workspace app or connector settings.
- Step 02
Add the URL
Choose Add server with Streamable HTTP, or create a custom MCP app, then paste the AcoustID URL.
- Step 03
Save and start
Save the connection and enable AcoustID in your conversation. Desktop may ask you to restart once.
Cursor · IDE configuration
Advanced setup
{
"mcpServers": {
"acoustid": {
"url": "https://edge.vinkius.com/vk_preview_v9xbdNVZMV84BM5yK0z5ihjlFFBmKKCzfTUrJ6Gw/mcp"
}
}
} - Step 01
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
- Step 02
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
- Step 03
Save the file
Cursor will automatically detect the new Connector
- Step 04
Start using AcoustID
Open Agent mode in chat and ask: "Using AcoustID, help me...". 5 tools available
VS Code Copilot · IDE configuration
Advanced setup
{
"mcpServers": {
"acoustid": {
"url": "https://edge.vinkius.com/vk_preview_v9xbdNVZMV84BM5yK0z5ihjlFFBmKKCzfTUrJ6Gw/mcp"
}
}
} - Step 01
Create MCP config
Create a .vscode/mcp.json file in your project root
- Step 02
Add the server config
Paste the JSON configuration above
- Step 03
Enable Agent mode
Open GitHub Copilot Chat and switch to Agent mode using the dropdown
- Step 04
Start using AcoustID
Ask Copilot: "Using AcoustID, help me...". 5 tools available
Windsurf · IDE configuration
Advanced setup
{
"mcpServers": {
"acoustid": {
"url": "https://edge.vinkius.com/vk_preview_v9xbdNVZMV84BM5yK0z5ihjlFFBmKKCzfTUrJ6Gw/mcp"
}
}
} - Step 01
Open MCP Settings
Go to Settings → MCP Configuration or press Cmd+Shift+P and search "MCP"
- Step 02
Add the server
Paste the JSON configuration above into mcp_config.json
- Step 03
Save and reload
Windsurf will detect the new server automatically
- Step 04
Start using AcoustID
Open Cascade and ask: "Using AcoustID, help me...". 5 tools available
Cline · IDE configuration
Advanced setup
{
"mcpServers": {
"acoustid": {
"url": "https://edge.vinkius.com/vk_preview_v9xbdNVZMV84BM5yK0z5ihjlFFBmKKCzfTUrJ6Gw/mcp"
}
}
} - Step 01
Open Cline MCP Settings
Click the Connectors icon in the Cline sidebar panel
- Step 02
Add remote server
Click "Add Connector" and paste the configuration above
- Step 03
Enable the server
Toggle the server switch to ON
- Step 04
Start using AcoustID
Ask Cline: "Using AcoustID, help me...". 5 tools available
Claude Code · Terminal command
Advanced setup
claude mcp add acoustid --transport http "https://edge.vinkius.com/vk_preview_v9xbdNVZMV84BM5yK0z5ihjlFFBmKKCzfTUrJ6Gw/mcp" - Step 01
Install Claude Code
Run npm install -g @anthropic-ai/claude-code if not already installed
- Step 02
Add the Connector
Run the command above in your terminal
- Step 03
Verify the connection
Run claude mcp to list connected servers, or type /mcp inside a session
- Step 04
Start using AcoustID
Ask Claude: "Using AcoustID, show me...". 5 tools are ready
Where the request belongs
Work AcoustID can move forward.
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.
Music App Developer
Integrating real-time song recognition into a streaming or audio player on a Tuesday afternoon.
Music Data Researcher
Mapping out relationships between artists, albums, and unique recording IDs for a research paper.
Digital Librarian
Organizing and tagging large quantities of audio files with accurate metadata for a personal archive.
Build the capability set
Add more capabilities.
Each Connector adds new actions and data without changing how you work.
Browse ConnectorsACRCloud Music Recognition
Identify and explore music via ACRCloud. recognize songs from audio files and retrieve rich metadata.
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Universal music recognition. identify songs from URLs, search lyrics, and find streaming links via AI.
Last.fm
Manage your music profile. audit listening habits, top tracks, and artists via AI.
Freesound
Search, download, and manage audio samples from the Freesound database directly within your AI agent.
Genius
Access the world's largest collection of song lyrics and musical knowledge. Search songs, artists, and annotations directly from your AI agent.
BPM Tap Tempo Analyzer
Analyze tap-based rhythmic input to derive precise tempo, stability, and musical context.
Bring your own AI
Change the model, client or framework. Keep AcoustID connected.
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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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