How to Use the Lyrics.ovh MCP in Google ADK

Q: Can Gemini models use the Lyrics.ovh server to analyze song meanings within the Google ADK?

Yes, your agent calls getlyrics to retrieve the text and then uses Gemini's reasoning capabilities to analyze the themes. The entire process happens in a single execution turn.

Q: How can I restrict my agent to only use song suggestions?

You can set the toolnames filter when configuring your toolset. Pass only suggestsongs in the list, and the agent will not be able to call the lyric retrieval tool.

Feed real-time song lyrics and track suggestions directly to Gemini models using the Google ADK via this managed MCP.

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Connect Lyrics.ovh MCP to Google ADK

Create your Vinkius account to connect Lyrics.ovh to Google ADK 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 Google ADK

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Query music databases using Google ADK

The `suggest_songs` tool queries the database for track matches based on any text string using the MCP protocol. Your Gemini agent uses this to parse messy user inputs and find the correct track metadata. This setup lets you connect music search directly to your Google Cloud data pipelines. You can pass the output straight to BigQuery or use it to enrich existing customer datasets.

Inject full song lyrics into Gemini context windows

The `get_lyrics` tool retrieves the complete text of a song using the artist name and track title. Gemini's million-token context window means your agent can analyze entire discographies in a single turn. This is ideal for semantic analysis, theme extraction, or translation tasks. The agent gets the exact text payload and processes it without hitting token limits or losing context.

Connect this MCP Server to your enterprise stack

Both `get_lyrics` and `suggest_songs` are exposed via standard HTTP transport protocols on this MCP Server. You initialize them using McpToolset and pass them directly to your LlmAgent instance. You can also apply a tool_names filter to restrict which tools your agent can access. This keeps your agent focused on specific tasks and prevents unauthorized API calls.

Setup guide

Set up Lyrics.ovh MCP in Google ADK

Prerequisites

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

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with Lyrics.ovh tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="Lyrics.ovh_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Lyrics.ovh tools via MCP.",
    tools=mcp_tools,
)

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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 Google ADK

Initialize the McpToolset with the HTTP server parameters pointing to your Vinkius endpoint. Then, pass that toolset object into the tools list of your LlmAgent.

Yes, your agent calls get_lyrics to retrieve the text and then uses Gemini's reasoning capabilities to analyze the themes. The entire process happens in a single execution turn.

Yes, the framework handles both transport types. For our managed cloud deployment, you will use the HTTP transport to connect securely to the endpoint.

You can set the tool_names filter when configuring your toolset. Pass only suggest_songs in the list, and the agent will not be able to call the lyric retrieval tool.

All song titles, artist names, and retrieved lyrics are processed in-memory and sent directly to your agent. We do not log, cache, or store the contents of your queries on our infrastructure.

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