4,000+ servers built on MCP Fusion
Vinkius
Claude DesktopIDE
Why use AudD Music Recognition MCP Server with Claude Desktop?

Bring Music Recognition
to Claude Desktop

Create your Vinkius account to connect AudD Music Recognition to Claude Desktop and start using all 8 AI tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code. No hosting, no server setup — just connect and start using.

MCP Inspector GDPR Free for Subscribers
Add Monitored StreamGet LyricsList Monitored StreamsRecognize At TimeRecognize MusicSearch LyricsSearch MusicSet Stream Callback Url
ChatGPT Claude Perplexity

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
AudD Music Recognition

What is the 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.

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.

How it works

  1. Subscribe to this server
  2. Enter your AudD API Token
  3. Start managing your music discovery from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • Content Creators — identify background music in videos or find tracks for their productions.
  • Music Enthusiasts — search for lyrics and find where to stream their favorite songs.
  • Developers — integrate music identification capabilities into their AI workflows.
  • Researchers — analyze music metadata and release histories across a massive database.

Built-in capabilities (8)

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

Why Claude Desktop?

Claude Desktop is the definitive way to connect AudD Music Recognition to your AI workflow. Add Vinkius Edge URL to your config, restart the app, and Claude immediately exposes all 8 tools in the chat interface. ask a question, Claude calls the right tool, and you see the answer. Zero code, zero context switching.

  • Claude Desktop is the reference MCP client. it was designed alongside the protocol itself, ensuring the most complete and stable MCP implementation available

  • Zero-code configuration: add a server URL to a JSON file and Claude instantly discovers and exposes all available tools in the chat interface

  • Claude's extended thinking capability lets it reason through multi-step tool usage, chaining multiple API calls to answer complex questions

  • Enterprise-grade security with local config storage. your tokens never leave your machine, and connections go directly to Vinkius Edge network

See it in action

AudD Music Recognition in Claude Desktop

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Enterprise Security

Why run AudD Music Recognition with Vinkius?

The AudD Music Recognition connection runs on our fully managed, secure cloud infrastructure. We handle the hosting, maintenance, and security so you don't have to deal with servers or code. All 8 tools are ready to work instantly without any complex setup.

You stay in complete control of your data. Your AI only accesses the information you approve, keeping your sensitive passwords and private details completely safe. Plus, with automatic optimizations, your AI works faster and more efficiently.

AudD Music Recognition
Fully ManagedNo server setup
Plug & PlayNo coding needed
SecurePrivacy protected
PrivateYour data is safe
Cost ControlBudget limits
Control1-click disconnect
Auto-UpdatesMaintenance free
High SpeedOptimized for AI
Reliable99.9% uptime
Your credentials and connection tokens are fully encrypted

* Every connection is hosted and maintained by Vinkius. We handle the security, updates, and infrastructure so you don't have to write code or manage servers. See our infrastructure

01 / Catalog

Over 4,000 integrations ready for AI agents

Explore a vast library of pre-built integrations, optimized and ready to deploy.

02 / Credentials

Connect securely in under 30 seconds

Generate tokens to authenticate and link external services in a single step.

03 / Guardian

Complete visibility into every agent action

Audit live requests, latency, success rates, and active security compliance policies.

04 / FinOps

Optimize spending and track token ROI

Analyze real-time token consumption and cost metrics detailed by connection.

Over 4,000 integrations ready for AI agents
Connect securely in under 30 seconds
Complete visibility into every agent action
Optimize spending and track token ROI

Explore our live AI Agents Analytics dashboard to see it all working

This dashboard is included when you connect AudD Music Recognition using Vinkius. You will never be left in the dark about what your AI agents are doing with your tools.

Why Vinkius

AudD Music Recognition and 4,000+ other AI tools. No hosting, no code, ready to use.

Professionals who connect AudD Music Recognition to Claude Desktop through Vinkius don't need to write code, manage servers, or worry about security. Everything is pre-configured, secure, and runs automatically in the background.

4,000+MCP Integrations
<40msResponse time
100%Fully managed
Raw MCP
Vinkius
Ready-to-use MCPsFind and configure each manually4,000+ MCPs ready to use
Connection SetupManual coding & server setup1-click instant connection
Server HostingYou host it yourself (needs 24/7 uptime)100% hosted & managed by Vinkius
Security & PrivacyStored in plaintext config filesBank-grade encrypted vault
Activity VisibilityBlind execution (no logs or tracking)Live dashboard with real-time logs
Cost ControlRunaway AI token spend riskAutomatic budget limits
Revoking AccessMust delete files or code to stop1-click disconnect button
The Vinkius Advantage

How Vinkius secures AudD Music Recognition for Claude Desktop

Every request between Claude Desktop and AudD Music Recognition is protected by our secure gateway. We automatically keep your sensitive data private, prevent unauthorized access, and let you disconnect instantly at any time.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I identify a song just by providing a link to an MP3 file?

Yes! Use the recognize_music tool and provide the direct URL to the audio file. Your agent will identify the track and provide metadata and streaming links.

02

How do I find the lyrics for a song if I only know a few words?

You can use the search_lyrics tool with those words. Your agent will search AudD's database for matching lyrics and return the full text and song details.

03

Can I get direct links to open the song on Spotify or Apple Music?

Yes, when identifying a song or searching for one, you can request extra data that includes direct streaming links for various platforms.

04

How does Claude Desktop discover MCP tools?

When Claude Desktop starts, it reads the claude_desktop_config.json file and connects to each configured MCP server. It calls the tools/list endpoint to fetch the schema for every available tool, then surfaces them as clickable options in the chat interface via the 🔌 icon.

05

What happens if the MCP server is temporarily unavailable?

Claude Desktop handles disconnections gracefully. if the server is unreachable at startup, the tools simply won't appear. Once the server becomes available again, restarting Claude Desktop will re-establish the connection. There is no timeout penalty or error loop.

06

Can I connect multiple MCP servers simultaneously?

Yes. You can add as many servers as you need in the mcpServers section of the config file. Each server appears as a separate tool provider, and Claude can use tools from multiple servers in a single conversation turn.

07

Is there a limit on the number of tools per server?

Claude Desktop can handle hundreds of tools per server. However, for optimal LLM performance, Vinkius servers are designed to expose focused, well-documented tool sets rather than overwhelming the model with too many options.

08

Does Claude Desktop support Streamable HTTP transport?

Yes. Claude Desktop supports both SSE (Server-Sent Events) and the newer Streamable HTTP transport that Vinkius uses. Simply provide the server URL. Claude auto-negotiates the transport protocol.

09

Server not appearing after restart

Ensure the JSON is valid (no trailing commas). Check the file path: ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\\Claude\\ (Windows).

10

Authentication error

Verify your Vinkius token is correct. Go to cloud.vinkius.com to regenerate it if needed.

11

Tools not showing in chat

Click the 🔌 icon at the bottom of the chat input. If it shows 0 tools, the server may still be connecting. wait a few seconds.

Explore More MCP Servers

View all →