How to Use the AcoustID MCP in Google ADK

Q: How does Google ADK handle AcoustID metadata formatting?

The agent uses getrecordingmetadata to retrieve structured JSON containing artists, release groups, and fingerprints. Google ADK then parses this structure, making it ready for storage in Cloud Spanner or BigQuery.

Q: Can I limit which tools the Google ADK agent can access?

Yes, you can use the toolnames filter in your McpToolset configuration to restrict the agent. For instance, you can expose only search tools and hide submission tools.

Connect the AcoustID MCP Server to Google ADK to analyze audio metadata and run queries alongside BigQuery.

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Connect AcoustID MCP to Google ADK

Create your Vinkius account to connect AcoustID 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 AcoustID with Google ADK

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Run Google ADK song lookups at scale

The `lookup_by_fingerprint` tool gives your Google ADK agent the ability to match audio fingerprints against the AcoustID database directly. Combining this tool with Gemini's long-context window allows your Google ADK agent to analyze hours of AcoustID broadcast audio metadata in a single run. You can feed the resulting AcoustID MusicBrainz IDs directly into BigQuery to cross-reference your Google Cloud music catalog.

Map MusicBrainz IDs using this MCP Server

The `search_by_mbid` tool allows your Google ADK agent to locate all AcoustID fingerprints associated with a specific MusicBrainz ID. It becomes critical when your Google ADK agent needs to find alternative AcoustID recordings or master tracks for a single song. Because Google ADK integrates natively with Vertex AI, your agent can use AcoustIDs to cluster similar-sounding songs.

Search song catalogs via Google ADK

The `search_by_recording` tool enables Google ADK to find AcoustIDs by feeding in text queries like artist names and song titles. It bridges the gap between Google Cloud playlist logs and unique AcoustIDs. Gemini models inside Google ADK can parse messy playlist text and extract the exact parameters AcoustID expects.

Setup guide

Set up AcoustID 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 AcoustID 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="AcoustID_agent",
    model="gemini-2.0-flash",
    instruction="You have access to AcoustID tools via MCP.",
    tools=mcp_tools,
)

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Common questions about AcoustID MCP in Google ADK

Install the SDK with pip install google-adk and configure McpToolset with your Vinkius HTTP transport URL. Pass this toolset into the LlmAgent constructor to give your Gemini models access to the audio lookup tools.

Yes, your agent can read audio fingerprints from a BigQuery table and pass them sequentially to lookup_by_fingerprint. The long context of Gemini allows the agent to keep track of multiple lookups without losing the thread.

The agent uses get_recording_metadata to retrieve structured JSON containing artists, release groups, and fingerprints. Google ADK then parses this structure, making it ready for storage in Cloud Spanner or BigQuery.

Yes, you can use the tool_names filter in your McpToolset configuration to restrict the agent. For instance, you can expose only search tools and hide submission tools.

The AcoustID MCP Server only handles digital fingerprints and text metadata, never your raw audio recordings. All requests are routed through Vinkius's zero-trust gateway, which encrypts the fingerprint payloads in transit and never writes them to disk.

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