How to Use the AudD Music Recognition MCP in CrewAI

Q: Does AudD Music Recognition support selective tool exposure in CrewAI?

You can use the toolfilter in your MCP setup to give specific agents access to only the tools they need.

Deploy specialized music recognition agents with CrewAI and this MCP Server.

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Connect AudD Music Recognition MCP to CrewAI

Create your Vinkius account to connect AudD Music Recognition to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AudD Music Recognition with CrewAI

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Perplexity

Role-based music recognition for CrewAI

Assign `recognize_music` to your research agent to identify tracks in the background. It returns the metadata to the shared memory of your crew. This keeps your lead agent free to make decisions while the research agent handles the heavy lifting.

Search lyrics across your CrewAI crew

Use `search_music` to let your moderator agent find songs based on themes or fragments. It’s a great way to verify content before the crew acts. Your agents share the results instantly. No need for the moderator to re-run the search.

Long-form audio analysis in CrewAI

Use `recognize_at_time` to pinpoint specific moments in long audio files. It helps your crew identify tracks during specific segments of a stream. This tool is built for precision. It prevents your agents from wasting tokens on irrelevant parts of an audio file.

Setup guide

Set up AudD Music Recognition MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke AudD Music Recognition tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="AudD Music Recognition Analyst",
    goal="Access and analyze AudD Music Recognition data via MCP.",
    backstory="Expert analyst with direct AudD Music Recognition access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent AudD Music Recognition transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="AudD Music Recognition Analyst",
        goal="Access and analyze AudD Music Recognition data via MCP.",
        backstory="Expert analyst with direct AudD Music Recognition access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AudD Music Recognition transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AudD. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AudD Music Recognition MCP in CrewAI

You pass the server URL directly into the agent's MCP list. Each agent in your crew can then access the tools as needed.

Yes. Once an agent calls the tool, the metadata is stored in the crew's shared context, allowing other agents to act on the info.

All requests are sandboxed by Vinkius. Your agents interact with the server through an ephemeral connection that clears once the task finishes.

You can use the tool_filter in your MCP setup to give specific agents access to only the tools they need.

The server only processes the provided audio URL to perform the identification. All traffic is encrypted in transit and isolated from other users.

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