How to Use the Lyrics.ovh MCP in CrewAI

Q: How do I give my CrewAI agents access to Lyrics.ovh?

Add the server URL to your agent's mcps list. CrewAI handles the rest, exposing the tools to your agents so they can collaborate on music tasks.

Q: Can I use Lyrics.ovh to coordinate multi-agent tasks in CrewAI?

Yes, use suggestsongs to initiate a task. One agent finds songs, and another agent performs further analysis on the titles, creating a chain of autonomous action.

Deploy autonomous music-research crews using CrewAI and the Lyrics.ovh MCP Server.

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Connect Lyrics.ovh MCP to CrewAI

Create your Vinkius account to connect Lyrics.ovh 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 Lyrics.ovh with CrewAI

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Perplexity

Specialized agents for CrewAI

Assign the `get_lyrics` tool to a dedicated research agent. While your analyzer agent focuses on sentiment, your researcher pulls the raw text directly from the source. This keeps your crew specialized. No single agent gets overwhelmed by doing too many tasks at once.

Collaborative song discovery for CrewAI

Let your agents use `suggest_songs` as a shared resource. One agent suggests a list, and another agent filters that list to find the perfect track for your project. It’s a team-based approach to music discovery. Your agents share the memory of these findings, leading to better outcomes for the entire crew.

Selective tool exposure for MCP Server

Use the tool filter to limit which agent has access to `get_lyrics`. You don't need every member of the crew to have the power to pull lyrics if only one agent needs it. This keeps your crew's operations clean and efficient. You maintain tight control over the capabilities of every individual agent.

Setup guide

Set up Lyrics.ovh 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 Lyrics.ovh tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Lyrics.ovh 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="Lyrics.ovh Analyst",
        goal="Access and analyze Lyrics.ovh data via MCP.",
        backstory="Expert analyst with direct Lyrics.ovh access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Lyrics.ovh 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 Lyrics.ovh. 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 Lyrics.ovh MCP in CrewAI

Add the server URL to your agent's `mcps` list. CrewAI handles the rest, exposing the tools to your agents so they can collaborate on music tasks.

Yes, use `suggest_songs` to initiate a task. One agent finds songs, and another agent performs further analysis on the titles, creating a chain of autonomous action.

It works perfectly. You can assign the tools to a lead agent who then delegates the work to subordinate agents based on the search results.

They are read-only tools that fetch public data. They don't modify your local files or interact with your system, making them safe for hands-off agents.

The server operates within a sandbox. The only data exchanged is the song request, ensuring your local environment and private files remain completely untouched.

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