How do I get ACRCloud credentials?

Sign up at the [**ACRCloud Console**](https://console.acrcloud.com/), create a 'Music Recognition' project, and you will find your Access Key, Secret, and Host in the project settings.

Which audio formats are supported for identification?

ACRCloud supports most common audio formats including MP3, WAV, AAC, and OGG. The agent will download the file from the provided URL and send it for fingerprinting.

Can I find the ISRC code for a specific track?

Yes! When you identify a song or search for metadata, the `acr_music_search` tool returns industry-standard identifiers like ISRC, allowing you to track specific recordings across different systems.

ACRCloud Music Recognition MCP Server for Pydantic AI 5 tools — connect in under 2 minutes

Name: ACRCloud Music Recognition
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 5 Tools SDK

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

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ASK AI ABOUT THIS MCP SERVER

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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 ACRCloud Music Recognition "
            "(5 tools)."
        ),
    )

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

asyncio.run(main())

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About ACRCloud Music Recognition MCP Server

Connect your AI agent to ACRCloud, the world-leading automatic content recognition (ACR) service. This integration allows you to identify music from audio samples and explore a massive database of tracks, artists, and albums with rich metadata and streaming links.

Pydantic AI validates every ACRCloud Music Recognition tool response against typed schemas, catching data inconsistencies at build time. Connect 5 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 Identification — Send an audio file URL to instantly identify the song, artist, and album using advanced fingerprinting
Deep Metadata Search — Query the global music database for tracks, albums, and artists using text or codes (ISRC)
Streaming Links — Automatically retrieve IDs and direct links for Spotify, YouTube, and other major platforms
Professional Analytics — Get confidence scores and release details for identified audio content

The ACRCloud Music Recognition MCP Server exposes 5 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 ACRCloud Music Recognition to Pydantic AI via MCP

Follow these steps to integrate the ACRCloud 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 5 tools from ACRCloud Music Recognition with type-safe schemas

Why Use Pydantic AI with the ACRCloud Music Recognition MCP Server

Pydantic AI provides unique advantages when paired with ACRCloud 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 ACRCloud 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 ACRCloud Music Recognition connection logic from agent behavior for testable, maintainable code

ACRCloud Music Recognition + Pydantic AI Use Cases

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

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

API orchestration: chain multiple ACRCloud 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 ACRCloud Music Recognition and output structured, schema-compliant notifications

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

ACRCloud Music Recognition MCP Tools for Pydantic AI (5)

These 5 tools become available when you connect ACRCloud Music Recognition to Pydantic AI via MCP:

get_track_by_isrc

Retrieve detailed metadata for a track using its ISRC code

identify_music_from_url

Identify a song from an audio file URL (e.g., mp3, wav)

search_albums

Search for music albums by title or artist

search_artists

Search for music artists by name

search_tracks

Search for music tracks by name, artist, or lyric fragments

Example Prompts for ACRCloud Music Recognition in Pydantic AI

Ready-to-use prompts you can give your Pydantic AI agent to start working with ACRCloud Music Recognition immediately.

"Identify this song: https://example.com/sample.mp3"

"Search for tracks by 'Daft Punk'."

"Get the Spotify link for the song with ISRC USAT20500447."

Troubleshooting ACRCloud Music Recognition MCP Server with Pydantic AI

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

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

ACRCloud Music Recognition + Pydantic AI FAQ

Common questions about integrating ACRCloud 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 ACRCloud Music Recognition MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.