How to Use the Doofinder MCP in Google ADK

Q: Can I filter results using Doofinder and Google ADK?

Absolutely. Use searchfiltered to apply constraints to your search. It narrows down results based on your specific business rules.

Q: Can I use multiple search engines?

Yes. The getsearchengines tool lets your agent list and target different engines as needed.

Q: Does the agent support large result sets?

Yes, searchpagination allows you to traverse your catalog systematically. It ensures your agent processes data efficiently without hitting memory limits.

Integrate Google ADK agents with Doofinder. Query your search infrastructure and manage product data on Google Cloud.

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Connect Doofinder MCP to Google ADK

Create your Vinkius account to connect Doofinder 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 Doofinder with Google ADK

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Google ADK search automation

Your agent uses `search_keyword` and `search_custom` to pull data from your catalog. It integrates search operations into your existing GCP workflows. Use `search_pagination` to handle high-volume traffic during peak sales. It keeps your agent's memory usage stable while processing large datasets.

Advanced indexing for Google ADK

The `get_search_engines` tool allows your agent to switch between different search configurations instantly. It adapts your agent's behavior based on the specific store it manages. Check your index health with `get_indices`. Your agent maintains a clear view of which catalogs are active and ready for customer queries.

Real-time analytics for agents

Call `get_stats` to pull performance metrics directly into your Gemini-powered agents. It provides the data needed for automated reporting and search optimization. Use `get_items` to verify data consistency across your infrastructure. Your agent ensures that every product in your search result is valid and up to date.

Setup guide

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

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Common questions about Doofinder MCP in Google ADK

Register the Doofinder tools within your McpToolset. Your agent can then invoke `search_keyword` as part of its standard tool-calling loop.

Absolutely. Use `search_filtered` to apply constraints to your search. It narrows down results based on your specific business rules.

We only process the product metadata necessary for search. Your sensitive customer PII is never involved in these search transactions.

Yes. The `get_search_engines` tool lets your agent list and target different engines as needed.

Yes, `search_pagination` allows you to traverse your catalog systematically. It ensures your agent processes data efficiently without hitting memory limits.

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