How to Use the VineRadar MCP in Google ADK

Q: How do I search for wines using VineRadar with Google ADK?

Just call the searchwines tool and pass in your name or keyword. The agent returns a list of wine data, which you can then load directly into BigQuery for historical comparison.

Q: What if I need to find multiple vineyards using VineRadar with Google ADK?

Use the searchvineyards tool combined with location parameters. This allows your agent to gather data points across wide geographical areas in one go, keeping everything within the Gemini context window.

Q: Can I check varietals list using VineRadar with Google ADK?

You can use listwinevarietals to get all supported wine types. This is great for populating reference tables in BigQuery or for initial data validation.

Connect VineRadar to your Google ADK, making real-time wine and vineyard data accessible in BigQuery workflows.

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Connect VineRadar MCP to Google ADK

Create your Vinkius account to connect VineRadar 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 VineRadar with Google ADK

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Get Full Vineyard Records

Need granular details on a property? Use `get_vineyard_details` to fetch everything for a specific ID. This is critical when building enterprise agents that need full context about a site. Since your Google Cloud data lives in BigQuery, bringing this structured vineyard information right into the workflow makes sense. Your agent gets exactly what it needs.

Search Wines by Keyword

The `search_wines` tool lets your agent quickly locate wines using names or keywords. This is a core function for any large-scale inventory system. Because you're building on Google Cloud, the results from this search flow naturally into Gemini models for further analysis.

Check API Status Directly

Always verify connectivity before running a production task. Call `check_api_status` to confirm that the VineRadar API is operational. This prevents long, failed runs and keeps your agent pipeline moving. It's a simple check that adds reliability to any major process you run through Vertex AI.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by VineRadar. 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 VineRadar MCP in Google ADK

Just call the `search_wines` tool and pass in your name or keyword. The agent returns a list of wine data, which you can then load directly into BigQuery for historical comparison.

Use the `search_vineyards` tool combined with location parameters. This allows your agent to gather data points across wide geographical areas in one go, keeping everything within the Gemini context window.

Yes. The server handles vineyard and wine details (text strings). Authentication uses an endpoint token managed through the Google Cloud infrastructure, ensuring controlled access to this information for your agent.

You can use `list_wine_varietals` to get all supported wine types. This is great for populating reference tables in BigQuery or for initial data validation.

The tool executes with native error handling, providing specific failure messages back to the LlmAgent. This keeps your agent running reliably and prevents silent data corruption.

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