How to Use the MusicBrainz MCP in Google ADK

Q: Does the Google ADK support filtering tools for the MusicBrainz server?

Yes, you can use the toolnames filter in your McpToolset configuration. This limits your agent to only the specific MusicBrainz tools you need.

Connect MusicBrainz to your Google ADK agent for enterprise-grade audio data retrieval and processing.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect MusicBrainz MCP to Google ADK

Create your Vinkius account to connect MusicBrainz 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.

GDPR Free for Subscribers

Setup MusicBrainz with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Retrieve detailed entity records

Use `get_work`, `get_label`, and `get_release_group` to fetch structured metadata for your Google Cloud workflows. It delivers clean data directly into your agent's reasoning process. By pulling specific records, you avoid the noise of broad searches. This keeps your BigQuery data ingestion accurate and focused.

Run advanced metadata queries

The `search_releases` and `search_recordings` tools let your agent find specific items based on complex filters. You define the criteria, and the MCP Server returns the matches. This integrates with your existing infrastructure, allowing you to bridge public metadata with private internal data. It turns your agent into a research powerhouse.

Map geographic area data

Use `search_areas` to resolve locations to their canonical IDs. It helps your agent categorize releases or labels by region accurately. This tool provides the ISO codes and types necessary for strict data validation. It makes grouping international music data a repeatable task for your agents.

Setup guide

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by MusicBrainz. 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

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect MusicBrainz now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about MusicBrainz MCP in Google ADK

Yes, you can use the tool_names filter in your McpToolset configuration. This limits your agent to only the specific MusicBrainz tools you need.

You fetch the data via MCP tools and then output the JSON to your BigQuery pipeline. The ADK handles the data transfer between the MCP server and your cloud storage.

The server connection is managed by the McpToolset. You define the endpoint once, and your agent maintains access to the tools throughout its lifecycle.

You should implement a local queue or delay in your agent logic. The tools provide the data, but you are responsible for managing the frequency of calls.

It accesses public music metadata like track titles, release dates, and artist names. This server performs no tracking and processes no personally identifiable information from your users.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript