How to Use the Genius MCP in Google ADK
Connect your Google ADK agents to the Genius lyrics database for large-scale analysis and long-context reasoning.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Genius MCP to Google ADK
Create your Vinkius account to connect Genius 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.
Query Genius from Your Google Cloud Agent
Your agent, running on a Gemini model, can now query the world's largest lyrics database. Start with `search_songs` to find tracks by title or artist. From there, use the song ID to feed data into your other systems. Pull full lyrics with `get_song` or an artist's entire catalog with `get_artist_songs` for analysis in BigQuery.
Analyze Lyric Meanings and Annotations
This isn't just about fetching text. Your agent can retrieve the community-sourced explanations behind the lyrics using `get_song_annotations`. It gets the annotated text fragment and the full explanation. For even more detail, use the annotation ID with `get_annotation` to get vote counts and author info. This gives your long-context agent rich, structured data to reason about a song's meaning.
Integrate Artist and Album Data with Google ADK
Build a complete picture of an artist or album. The `get_artist` tool provides profile info, images, and their Genius IQ score. The `get_album` tool gives you the tracklist, cover art, and release date. Because you're using Google ADK, you can easily pipe this structured metadata into other Google Cloud services. This MCP Server is the bridge between the music world and your enterprise data environment.
Set up Genius MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Genius tools in your ADK agent.
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="Genius_agent",
model="gemini-2.0-flash",
instruction="You have access to Genius tools via MCP.",
tools=mcp_tools,
) Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Genius. 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.
Why Choose Vinkius
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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
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place for every integration
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Common questions about Genius MCP in Google ADK
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