How to Use the Lyrics.ovh MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK agent search for songs using Lyrics.ovh without knowing the exact title?

Yes, the agent uses suggestsongs to resolve partial names or fuzzy search terms first. Once it gets the correct title and artist from the suggestions, it calls getlyrics to fetch the text.

Let your OpenAI Agents SDK agents pull raw lyric data and song suggestions directly into their execution streams using this MCP.

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Connect Lyrics.ovh MCP to OpenAI Agents SDK

Create your Vinkius account to connect Lyrics.ovh to OpenAI Agents SDK 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 OpenAI Agents SDK

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Fetch raw text with the Lyrics.ovh MCP Server

The `get_lyrics` tool pulls exact lyric text from the database using only the artist and track title. Your OpenAI agent handles the query formatting and feeds the raw text directly into your system prompt or downstream processing pipeline. Because this runs on our managed infrastructure, you don't have to worry about setting up scrapers. The agent validates the inputs before calling the tool, keeping your production pipelines clean and predictable.

Build dynamic music search workflows

The `suggest_songs` tool matches partial queries or keywords to return a list of matching tracks. This lets your agent suggest alternative titles when a user misremembers a song name. You configure the agent with built-in guardrails to filter out irrelevant matches before they hit your application logic. It keeps your token usage down by only processing highly relevant search hits.

Safe execution inside OpenAI Agents SDK

Both `get_lyrics` and `suggest_songs` integrate with your agent's safety guardrails. The SDK manages tool discovery automatically when you pass the MCP configuration to your agent constructor. You can trace every single tool call in your dashboard to see exactly what queries your users are running. Enable tool list caching to shave off latency overhead on repetitive lookups.

Setup guide

Set up Lyrics.ovh MCP in OpenAI Agents SDK

Prerequisites

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

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Lyrics.ovh tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Lyrics.ovh tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Lyrics.ovh tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Lyrics.ovh Agent",
            instructions="You have access to Lyrics.ovh tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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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 OpenAI Agents SDK

Use the MCPServerStreamableHttp class with the Vinkius endpoint URL. Pass this instance inside the mcp_servers list when initializing your Agent object.

Yes, the agent uses suggest_songs to resolve partial names or fuzzy search terms first. Once it gets the correct title and artist from the suggestions, it calls get_lyrics to fetch the text.

We run the server in an isolated sandbox that handles connection pooling. You can also set cacheToolsList=True in the SDK to minimize setup handshakes and keep response times low.

Yes, it works natively with Python's async with context manager. Your agent calls the tools asynchronously, meaning your main application thread never blocks while waiting for lyric data.

We process artist names, song titles, and lyric queries in ephemeral memory. No search history or lyric text is stored on our servers, and all traffic uses secure TLS connections.

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