- METADATA
- ALBUM
- DATA
- HUMAN
Short answer
How can I identify a song using an audio URL?
Paste the audio URL into your chat and ask your AI to identify the track. Your AI uses the ACRCloud connector to extract the artist, song title, and album info. You'll get a clean breakdown of the music metadata.
The results you get
What your AI finds
The AI processes the link and organizes the results into these categories.
METADATA
Track details
The AI pulls the exact song title and artist name. This gives you the core info you need for playlists or credits.
ALBUM
Album information
It identifies the specific album the track belongs to. You can use this to group similar music together.
DATA
Raw music data
The AI extracts technical details from the audio fingerprint. This is useful if you need to verify specific versions of a song.
HUMAN
Manual verification
You decide if the identified track matches what you heard. The AI provides the data, but you make the final call on accuracy.
The workflow
What your AI does when a URL arrives.
The AI handles the heavy lifting of audio fingerprinting and data retrieval.
Analyze the link
Your AI receives the audio URL and prepares the request for the music recognition engine.
identify_music_from_urlFingerprint the audio
The system processes the audio stream to create a unique digital fingerprint for comparison.
identify_music_from_urlMatch the track
The AI compares that fingerprint against a massive database of known songs to find a match.
identify_music_from_urlFormat the results
The AI takes the raw metadata and presents it as a readable list of artist and album info.
identify_music_from_url
Try it
Copy these to start.
Use these prompts to trigger the music recognition process.
Starting points
Replace the bracketed text with your actual audio links or specific data requests.
ACRCloud Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_HJxP4MAMBXPBpyZP8GvRQvlnv0fQAf7GhlQ7u1Dt/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 — ACRCloud capabilities are ready to use.
{
"mcpServers": {
"acrcloud-music-recognition-mcp": {
"url": "https://edge.vinkius.com/vk_preview_HJxP4MAMBXPBpyZP8GvRQvlnv0fQAf7GhlQ7u1Dt/mcp"
}
}
}Identify the song in this audio URL: [paste link here]
What is the artist and album for this track? [paste link here]
Check this audio link and give me the song details: [paste link here]
Find the metadata for the music at this URL: [paste link here]
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect ACRCloud once, then ask.
Just click the link to connect. Your credentials stay encrypted, and you can start identifying songs in any MCP-compatible client immediately.
Connect ACRCloud to your AIFAQ
How the task behaves
- 01
Can the AI identify songs from a YouTube link?
No. The tool requires a direct link to an audio file.
- 02
Will the AI automatically add the song to my Spotify?
No. The AI only identifies the metadata. You have to manually add the song to your playlists.
- 03
Does it work with any audio file format?
Yes, as long as the URL points to a valid, accessible audio file that the recognition engine can process.
- 04
Can the AI change the song's metadata in my files?
No. The AI only reads and identifies data; it cannot modify your local files or external databases.
- 05
What happens if the song isn't in the database?
If the fingerprint doesn't match a known track, the AI will tell you it couldn't identify the music.
More questions about ACRCloud? The Connector page answers them. See everything the ACRCloud Connector can do
Connect ACRCloud to Claude, Cursor, ChatGPT & more
