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How to Use the ACRCloud Music Recognition MCP in Google ADK

Connect Google ADK to ACRCloud to run audio identification and query global music metadata directly from your enterprise pipeline.

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Google ADK

Connect ACRCloud Music Recognition MCP to Google ADK

Create your Vinkius account to connect ACRCloud Music Recognition 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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Match Audio Files inside Google ADK Pipelines

The `identify_music_from_url` tool analyzes online audio files and extracts metadata directly into your Gemini agent's context window via our managed MCP Server. This tool lets your Google ADK agent process hours of audio streams without needing external processing servers. Because Gemini supports long contexts, your agent can cross-reference the identified track with massive datasets stored in BigQuery. The agent coordinates the entire match-and-log workflow natively inside your Google Cloud environment.

Verify Catalog Data with ISRC Lookups

The `get_track_by_isrc` tool retrieves official catalog details using standard ISRC codes. It gives your enterprise agent a direct line to verified music registries to prevent metadata drift. You can restrict your agent to only use this specific tool by applying a tool filter in your toolset configuration. This keeps your Google Cloud agents focused on data validation without exposing unnecessary search endpoints.

Search Music Catalogs at Scale

The `search_tracks`, `search_albums`, and `search_artists` tools allow your agent to query ACRCloud's database using text strings or lyric fragments. It resolves messy user search queries into structured catalog records. Your agent can feed these search results directly into Vertex AI to build custom recommendation engines. It bridges the gap between raw unstructured audio search and your internal enterprise databases.

Setup guide

Set up ACRCloud Music Recognition 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 ACRCloud Music Recognition 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="ACRCloud Music Recognition_agent",
    model="gemini-2.0-flash",
    instruction="You have access to ACRCloud Music Recognition 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 ACRCloud. 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 ACRCloud Music Recognition MCP in Google ADK

Use `McpToolset` with the Vinkius HTTP transport URL. Pass this toolset directly to your `LlmAgent` to expose the MCP tools to Gemini.
Yes. Use the ADK's native tool filter to expose only `get_track_by_isrc` while hiding the broader search tools from your agent.
The server runs on Vinkius's managed infrastructure, which scales automatically to handle concurrent metadata requests from your Google Cloud pipelines.
Yes, as long as the file is accessible via a public or signed URL, you can pass it to `identify_music_from_url` for immediate fingerprinting.
Your audio files and metadata queries are transmitted over an encrypted zero-trust network directly to the endpoint. The managed infrastructure never caches your search queries or track identification payloads.

Start using the ACRCloud Music Recognition MCP today

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