How to Use the Wine-Searcher MCP in Google ADK

Q: How does the Google ADK handle complex wine lookups with Wine-Searcher?

The agent uses winecheck as its core tool. Since it integrates with BigQuery, you can run highly customized queries that check for specific grape types or regions across years of archived pricing data.

Q: Can the Google ADK compare prices across multiple producers using Wine-Searcher?

Yes. You feed producerinfo and global pricing from marketprice into Gemini. The agent reasons about these different streams of data to provide a holistic comparison.

Q: Does the Google ADK support searching for available wines using Wine-Searcher?

The capability is there. You can use searchwines and treat its output as a data source within your cloud workflow, triggering further actions like creating sales records.

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Connect Wine-Searcher MCP to Google ADK

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Setup Wine-Searcher with Google ADK

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Integrate Wine-Searcher data into BigQuery.

Your agent connects directly to your existing data in BigQuery, making it easy to analyze massive datasets alongside wine information. You can use `wine_check` results—including pricing and scores—and run deep analytical queries against them. The Google ADK lets you pass these structured Wine-Searcher outputs into Gemini for long-context reasoning. It means your agents don't just read data; they reason about it using BigQuery context.

Compare brands and regions at scale.

When comparing winemakers, the `producer_info` tool pulls brand details that you can then join to other corporate or sales records in your cloud environment. This is massive for market analysis. The agent uses `region_info` to contextualize those comparisons, allowing it to correlate a wine's quality not just with its producer, but with the specific terroir data.

Automate discovery and pricing research.

You can automate inventory checks using `search_wines`. The agent finds matching wines and their current scores by calling this toolset. This is perfect for supply chain monitoring. For financial analysis, the `market_price` function pulls global pricing data into your workflow. It lets you check if a specific wine deal makes sense compared to historical averages or other regions.

Setup guide

Set up Wine-Searcher 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 Wine-Searcher 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="Wine-Searcher_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Wine-Searcher 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 Wine-Searcher. 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 Wine-Searcher MCP in Google ADK

The agent uses `wine_check` as its core tool. Since it integrates with BigQuery, you can run highly customized queries that check for specific grape types or regions across years of archived pricing data.

Yes. You feed `producer_info` and global pricing from `market_price` into Gemini. The agent reasons about these different streams of data to provide a holistic comparison.

It’s excellent because you can build pipelines that combine `grape_info` and detailed regional context (`region_info`). The agent outputs structured reports ready to feed into training materials or documentation.

The capability is there. You can use `search_wines` and treat its output as a data source within your cloud workflow, triggering further actions like creating sales records.

The server touches commercial metadata, specifically global wine pricing and merchant inventory levels. Since it’s running on Vertex AI, you keep full control over how this non-personal market data is stored and processed.

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