AudD Music Recognition MCP Server for Cursor 8 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"audd-music-recognition": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
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About AudD Music Recognition MCP Server
Equip your AI agent with the power of AudD, the leading music recognition and data platform. This integration allows your agent to identify songs from audio URLs, search for track information by title or artist, and retrieve full lyrics or snippets. Your agent can also find direct streaming links for identified tracks on platforms like Spotify and Apple Music. Whether you are identifying a background track from a video or searching for that one song with a specific lyric, your agent acts as a dedicated musicologist through natural conversation.
Cursor's Agent mode turns AudD Music Recognition into an in-editor superpower. Ask Cursor to generate code using live data from AudD Music Recognition and it fetches, processes, and writes. all in a single agentic loop. 8 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Music Recognition — Identify songs from publicly accessible audio URLs with high precision.
- Lyrics Search — Find full lyrics or search for songs using fragments of text.
- Metadata Retrieval — Fetch detailed track, artist, and album information including release dates and labels.
- Streaming Links — Get direct URLs to listen to identified tracks on major music platforms.
- Timecode Identification — Start recognition from a specific offset to identify songs in long audio files.
The AudD Music Recognition MCP Server exposes 8 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect AudD Music Recognition to Cursor via MCP
Follow these steps to integrate the AudD Music Recognition MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using AudD Music Recognition
Open Agent mode in chat and ask: "Using AudD Music Recognition, help me...". 8 tools available
Why Use Cursor with the AudD Music Recognition MCP Server
Cursor AI Code Editor provides unique advantages when paired with AudD Music Recognition through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
AudD Music Recognition + Cursor Use Cases
Practical scenarios where Cursor combined with the AudD Music Recognition MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
AudD Music Recognition MCP Tools for Cursor (8)
These 8 tools become available when you connect AudD Music Recognition to Cursor via MCP:
add_monitored_stream
Add an audio stream to monitor for music
get_lyrics
Get full lyrics for a specific track
list_monitored_streams
List all monitored audio streams
recognize_at_time
Useful for long files. Recognize music starting at a specific offset
recognize_music
Returns artist, title, album, and streaming links (Apple Music, Spotify, etc.). Recognize a song from an audio URL
search_lyrics
Returns matched lyrics and song metadata. Search for song lyrics by text fragment
search_music
Search for a song by text query
set_stream_callback_url
Set the webhook URL for stream monitoring results
Example Prompts for AudD Music Recognition in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with AudD Music Recognition immediately.
"Identify the song at this URL: https://example.com/audio.mp3"
"Search for lyrics containing 'never gonna give you up'."
"Find the artist and album for the song 'Stairway to Heaven'."
Troubleshooting AudD Music Recognition MCP Server with Cursor
Common issues when connecting AudD Music Recognition to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
AudD Music Recognition + Cursor FAQ
Common questions about integrating AudD Music Recognition MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
Connect AudD Music Recognition with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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TypeScript toolkit for building AI-powered web applications.
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Microsoft's framework for multi-agent collaborative conversations.
Connect AudD Music Recognition to Cursor
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.