- METADATA
- DATA
- HUMAN
- LOGS
Short answer
How can I identify a song using an audio fingerprint?
Your AI sends the audio fingerprint to AcoustID to find a match in their database. This returns the exact song title and artist for the clip you provided. You'll get a breakdown of how the matching process works below.
The results of a match.
What you get from a lookup.
When your AI finds a match, it organizes the data into these specific outcomes.
METADATA
Song and artist info
The AI pulls the specific track name and performer from the fingerprint. You get the exact identity of the audio clip.
DATA
Fingerprint verification
The tool confirms the fingerprint exists in the AcoustID database. This ensures the match is based on actual acoustic data.
HUMAN
Manual review needed
If the fingerprint is too noisy or short, the AI will tell you it couldn't find a match. You'll need to provide a cleaner clip.
LOGS
Match history
Your agent can keep track of every successful identification. This helps you build a list of identified tracks from a larger batch.
The workflow
What your AI does when the audio arrives.
The AI handles the technical lookup so you don't have to manually search databases.
Receive fingerprint
Your AI receives the digital fingerprint representing the audio clip.
lookup_by_fingerprintQuery AcoustID
The agent uses the fingerprint to search the AcoustID database for a match.
lookup_by_fingerprintExtract details
The AI parses the returned data to find the song title and artist.
lookup_by_fingerprintReport findings
The agent presents the identified song information directly in your chat interface.
lookup_by_fingerprint
Try it
Copy these to start.
Use these prompts to trigger the identification process.
Starting points
These are basic ways to start. Replace the bracketed text with your specific fingerprint data.
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"
}
}
}Identify the song in this audio fingerprint: [paste fingerprint]
Use AcoustID to find the artist for this fingerprint: [paste fingerprint]
Check if this fingerprint matches any known songs: [paste fingerprint]
Look up the track details for this fingerprint: [paste fingerprint]
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect AcoustID once, then ask.
Just click the link to connect the MCP. Your credentials stay encrypted, and you can immediately start asking your agent to identify songs.
Connect AcoustID to your AIFAQ
How the identification works
- 01
Can the AI identify a song just by hearing it?
No. The AI requires a digital audio fingerprint to perform a lookup through the tool.
- 02
What happens if the fingerprint doesn't match anything?
The AI will inform you that no match was found in the AcoustID database.
- 03
Can the AI change the song metadata in my files?
No. The AI only retrieves information from the database; it cannot modify your local files.
- 04
Does the AI delete any of my audio clips?
No. The AI only reads the fingerprint data to perform the lookup.
- 05
Can I use this to identify live recordings?
It depends on whether the fingerprint of the live recording matches a fingerprint in the AcoustID database.
More questions about AcoustID? See everything the AcoustID Connector can do
Connect AcoustID to Claude, Cursor, ChatGPT & more
