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 CrewAI 8 tools — connect in under 2 minutes

Name: AudD Music Recognition
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to AudD Music Recognition through Vinkius, pass the Edge URL in the `mcps` parameter and every AudD Music Recognition tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="AudD Music Recognition Specialist",
    goal="Help users interact with AudD Music Recognition effectively",
    backstory=(
        "You are an expert at leveraging AudD Music Recognition tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in AudD Music Recognition "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, AudD Music Recognition becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call AudD Music Recognition tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

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

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from AudD Music Recognition

Why Use CrewAI with the AudD Music Recognition MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with AudD Music Recognition through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

AudD Music Recognition + CrewAI Use Cases

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

Automated multi-step research: a reconnaissance agent queries AudD Music Recognition for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries AudD Music Recognition, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain AudD Music Recognition tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries AudD Music Recognition against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

AudD Music Recognition MCP Tools for CrewAI (8)

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

Ready-to-use prompts you can give your CrewAI 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 CrewAI

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

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

AudD Music Recognition + CrewAI FAQ

Common questions about integrating AudD Music Recognition MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.