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How to Use the GatherUp MCP in Google ADK

Let your Gemini agent act on your GatherUp review data, right alongside your other Google Cloud services.

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Google ADK

Connect GatherUp MCP to Google ADK

Create your Vinkius account to connect GatherUp 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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Connect Reviews to Business Data

This integration lets your agent pull review data directly from GatherUp. It can use `get_review_metrics` to fetch sentiment scores and then, within the same agent workflow, query a BigQuery table with your sales numbers. Now you can ask your agent questions like, "Does a drop in average star rating correlate with sales dips at our Boston location?" It has the tools to find the answer by combining data from both systems.

Build Enterprise Workflows on Google Cloud

The Google ADK is built for scale, and this MCP toolset plugs right in. Your Gemini agent can pull thousands of entries with `list_online_reviews`, use its massive context window to summarize emerging themes, and then act on them. For example, it could identify all reviews mentioning 'price' and then use `reply_to_online_review` with a specific, pre-approved response about value. You're using Google's infrastructure to run your customer support.

Manage All Your Locations with One Agent

Start by giving your agent the `list_business_locations` tool. It gets a full list of every storefront or branch in your GatherUp account. From there, it can operate on them individually. Your agent can loop through locations, call `get_review_metrics` for each one, and generate a comparative report. This is perfect for regional managers who need a quick overview of how their different sites are performing.

Setup guide

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

You instantiate an `McpToolset` from the `google-adk` library, pointing it to your Vinkius server URL. Pass that toolset to your `LlmAgent` and it will automatically have access to all the GatherUp tools.
Absolutely. Your agent can call `list_business_locations` to get all location IDs, then iterate through them, calling `list_online_reviews` for each one. Gemini's large context window is ideal for summarizing findings from all locations at once.
Yes, that's a primary use case. After analyzing a review, your agent can use the `reply_to_online_review` tool to post a response directly to the review site. You can build logic to handle different types of feedback automatically.
It saves you from writing boilerplate code. Authentication, error handling, and tool definitions for the Google ADK are already done. You just point the `McpToolset` at our endpoint and start building your agent's logic.
Completely. The server processes review content, customer names, and business details inside a V8 Isolate sandbox. Your data isn't persisted, and access is controlled through a single, revocable API key managed by Vinkius.

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