How to Use the GrowingIO MCP in Google ADK
Feed GrowingIO funnel metrics directly into your Google ADK pipelines for long-context Gemini analytics.
Works with every AI agent you already use
…and any MCP-compatible client
Connect GrowingIO MCP to Google ADK
Create your Vinkius account to connect GrowingIO 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.
Bring event logs into Google ADK pipelines
Your Google ADK agent calls `list_log_sources` to feed raw GrowingIO event metadata directly into Gemini models. By bringing this GrowingIO MCP Server integration into your Google ADK pipelines, Gemini analyzes user behavior patterns over millions of tokens. This allows your Google ADK agent to query GrowingIO event data via `get_event` and write it to BigQuery. Our Google ADK agent queries the server, formats the GrowingIO event data, and prepares it for deep cloud-based warehousing.
Diagnose conversion funnels via Google ADK
Your Google ADK agent calls `get_funnel` to audit GrowingIO conversion rates and product health. The agent checks GrowingIO variables via `list_variables` to identify which custom properties correlate with user drop-offs in your Google ADK setup. With Gemini's long-context window, your Google ADK agent processes entire GrowingIO funnel histories at once. It compares current funnel performance against historical GrowingIO metrics retrieved via `get_metrics` to spot anomalies.
Control exposed tools with this MCP Server
Your Google ADK agent uses `get_project_info` or `list_segments` under strict access controls. When setting up the `McpToolset` in your Google ADK python code, you can use the tool names filter to restrict access to GrowingIO endpoints. This ensures your customer-facing Google ADK agents cannot access sensitive GrowingIO tools. You control exactly which GrowingIO analytics endpoints are visible to each Google ADK agent in your Google Cloud environment.
Set up GrowingIO 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 GrowingIO 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="GrowingIO_agent",
model="gemini-2.0-flash",
instruction="You have access to GrowingIO 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 GrowingIO. 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 GrowingIO MCP in Google ADK
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