2,500+ MCP servers ready to use
Vinkius

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

Built by Vinkius GDPR 8 Tools Framework

Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add AudD Music Recognition as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with McpWorkbench(
        server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
        transport="streamable_http",
    ) as workbench:
        tools = await workbench.list_tools()
        agent = AssistantAgent(
            name="audd_music_recognition_agent",
            tools=tools,
            system_message=(
                "You help users with AudD Music Recognition. "
                "8 tools available."
            ),
        )
        print(f"Agent ready with {len(tools)} tools")

asyncio.run(main())
AudD Music Recognition
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.

AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use AudD Music Recognition tools. Connect 8 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.

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 AutoGen 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 AutoGen via MCP

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

01

Install AutoGen

Run pip install "autogen-ext[mcp]"

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Integrate into workflow

Use the agent in your AutoGen multi-agent orchestration

04

Explore tools

The workbench discovers 8 tools from AudD Music Recognition automatically

Why Use AutoGen with the AudD Music Recognition MCP Server

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

01

Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use AudD Music Recognition tools to solve complex tasks

02

Role-based architecture lets you assign AudD Music Recognition tool access to specific agents. a data analyst queries while a reviewer validates

03

Human-in-the-loop support: agents can pause for human approval before executing sensitive AudD Music Recognition tool calls

04

Code execution sandbox: AutoGen agents can write and run code that processes AudD Music Recognition tool responses in an isolated environment

AudD Music Recognition + AutoGen Use Cases

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

01

Collaborative analysis: one agent queries AudD Music Recognition while another validates results and a third generates the final report

02

Automated review pipelines: a researcher agent fetches data from AudD Music Recognition, a critic agent evaluates quality, and a writer produces the output

03

Interactive planning: agents negotiate task allocation using AudD Music Recognition data to make informed decisions about resource distribution

04

Code generation with live data: an AutoGen coder agent writes scripts that process AudD Music Recognition responses in a sandboxed execution environment

AudD Music Recognition MCP Tools for AutoGen (8)

These 8 tools become available when you connect AudD Music Recognition to AutoGen via MCP:

01

add_monitored_stream

Add an audio stream to monitor for music

02

get_lyrics

Get full lyrics for a specific track

03

list_monitored_streams

List all monitored audio streams

04

recognize_at_time

Useful for long files. Recognize music starting at a specific offset

05

recognize_music

Returns artist, title, album, and streaming links (Apple Music, Spotify, etc.). Recognize a song from an audio URL

06

search_lyrics

Returns matched lyrics and song metadata. Search for song lyrics by text fragment

07

search_music

Search for a song by text query

08

set_stream_callback_url

Set the webhook URL for stream monitoring results

Example Prompts for AudD Music Recognition in AutoGen

Ready-to-use prompts you can give your AutoGen agent to start working with AudD Music Recognition immediately.

01

"Identify the song at this URL: https://example.com/audio.mp3"

02

"Search for lyrics containing 'never gonna give you up'."

03

"Find the artist and album for the song 'Stairway to Heaven'."

Troubleshooting AudD Music Recognition MCP Server with AutoGen

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

01

McpWorkbench not found

Install: pip install "autogen-ext[mcp]"

AudD Music Recognition + AutoGen FAQ

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

01

How does AutoGen connect to MCP servers?

Create an MCP tool adapter and assign it to one or more agents in the group chat. AutoGen agents can then call AudD Music Recognition tools during their conversation turns.
02

Can different agents have different MCP tool access?

Yes. AutoGen's role-based architecture lets you assign specific MCP tools to specific agents, so a querying agent has different capabilities than a reviewing agent.
03

Does AutoGen support human approval for tool calls?

Yes. Configure human-in-the-loop mode so agents pause and request approval before executing sensitive MCP tool calls.

Connect AudD Music Recognition to AutoGen

Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.