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