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How to Use the Jamendo MCP in Google ADK

Connect Gemini's long-context reasoning to the Jamendo catalog using the Google ADK.

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Google ADK

Connect Jamendo MCP to Google ADK

Create your Vinkius account to connect Jamendo 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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Location-Based Search with Google ADK

This Jamendo MCP Server lets you filter artists by where they are based using the `get_artist_locations` tool. You can combine this geographic data with your enterprise BigQuery datasets to analyze regional music trends via Google ADK. The Gemini model processes these locations and uses `search_artists` to build geo-targeted profiles. It then pulls their catalog using `get_artist_tracks` to create regional playlists.

Analyze Jamendo Feeds with Gemini

You can feed entire editorial music articles into Gemini's massive context window using the `get_feeds` tool. The Google ADK parses these homepage news updates to extract trending artists and album releases. Once the Google ADK agent identifies a trend, it queries `search_albums` and `get_album_reviews` to extract community sentiment. This lets your enterprise agent draft automated marketing copy or internal reports based on actual listener feedback.

Direct Radio and Playlist Control

This MCP toolset exposes `list_radios` and `get_radio_stream` to your enterprise agents. You can build automated background music systems that monitor active streams and log track metadata directly to Google Cloud. To curate custom stations, your Google ADK agent can call `set_user_playlist` and add tracks using `get_playlist_tracks`. You can restrict tool access in your `McpToolset` config so the agent only uses specific curation commands.

Setup guide

Set up Jamendo 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. 1

    Install Google ADK

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

  2. 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. 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. 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 Jamendo 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="Jamendo_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Jamendo 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 Jamendo. 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 Jamendo MCP in Google ADK

Install the package and initialize `McpToolset` with the Vinkius HTTP endpoint. Pass this toolset directly to your `LlmAgent` to let Gemini auto-discover the music tools.
You can. Your Google ADK agent can fetch track details with `get_track_reviews` and write those reviews directly into BigQuery for sentiment analysis.
The server handles HTTP 429 errors gracefully. When your Google ADK agent performs heavy catalog operations like `get_artist_tracks`, the connection manages throttling automatically.
Yes, your agent can call `set_user_fan` using an OAuth2 token. This lets your Google ADK agent build personalized follower lists for your users.
All search queries sent through `search_tracks` are processed in ephemeral V8 sandboxes. No search history or user profiles are cached on the Vinkius hosting infrastructure.

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