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.

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.

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.

AudD Music Recognition MCP Server for Pydantic AI 8 tools — connect in under 2 minutes

Name: AudD Music Recognition
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 8 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect AudD Music Recognition through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    server = MCPServerHTTP(url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to AudD Music Recognition "
            "(8 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in AudD Music Recognition?"
    )
    print(result.data)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

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.

Pydantic AI validates every AudD Music Recognition tool response against typed schemas, catching data inconsistencies at build time. Connect 8 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic AI 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 Pydantic AI via MCP

Follow these steps to integrate the AudD Music Recognition MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 8 tools from AudD Music Recognition with type-safe schemas

Why Use Pydantic AI with the AudD Music Recognition MCP Server

Pydantic AI provides unique advantages when paired with AudD Music Recognition through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your AudD Music Recognition integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your AudD Music Recognition connection logic from agent behavior for testable, maintainable code

AudD Music Recognition + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the AudD Music Recognition MCP Server delivers measurable value.

Type-safe data pipelines: query AudD Music Recognition with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple AudD Music Recognition tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query AudD Music Recognition and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock AudD Music Recognition responses and write comprehensive agent tests

AudD Music Recognition MCP Tools for Pydantic AI (8)

These 8 tools become available when you connect AudD Music Recognition to Pydantic AI 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic AI 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 Pydantic AI

Common issues when connecting AudD Music Recognition to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

AudD Music Recognition + Pydantic AI FAQ

Common questions about integrating AudD Music Recognition MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your AudD Music Recognition MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.