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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up ACRCloud Music Recognition 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 ACRCloud Music Recognition 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="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
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