How to Use the Gainsight PX MCP in Google ADK

Q: How do I initialize Gainsight PX with the Google ADK?

Install google-adk and pass the server URL to McpToolset using the HTTP transport parameters. Assign this toolset to your LlmAgent to expose the analytics tools over MCP to your Gemini models.

Connect Gainsight PX to your Gemini agents on Google Cloud using the Google ADK.

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Connect Gainsight PX MCP to Google ADK

Create your Vinkius account to connect Gainsight PX 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 Gainsight PX with Google ADK

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Map account profiles to BigQuery datasets

`list_px_accounts` queries your customer database to match in-app metrics with warehouse records. Your Gemini agent runs this tool to cross-reference Gainsight PX data with your BigQuery tables. The agent uses `identify_px_account` to write updated firmographic details back to the platform. This loop keeps your cloud warehouse and your product analytics synchronized without custom ETL pipelines.

Fetch user metadata for long-context reasoning

`get_user_details` pulls complete user profiles, including custom attributes and session histories. Gemini models use this context to personalize support responses based on actual feature usage. If the user is missing, the agent runs `identify_px_user` to generate a new record instantly. The Google ADK manages this MCP flow, passing raw JSON payloads directly into the model's active context window.

Track custom events from cloud functions

`track_server_event` logs backend interactions directly from your Google Cloud infrastructure. Your agent executes this tool whenever a database trigger or Pub/Sub message signals a milestone. Before sending, the agent runs `verify_api_connection` to ensure the Gainsight PX endpoint is active. This validation step protects your cloud functions from hanging on dead network requests over the MCP Server connection.

Setup guide

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

Install `google-adk` and pass the server URL to `McpToolset` using the HTTP transport parameters. Assign this toolset to your `LlmAgent` to expose the analytics tools over MCP to your Gemini models.

Yes, the agent uses the engagement listing tool to see which active guides or surveys a user has received. This prevents your agent from repeating information already delivered by your in-app onboarding tools.

Yes, you can use the tool names parameter in your toolset configuration to expose only specific endpoints. For example, you can limit your agent to user details and product features while blocking write operations.

The agent calls the feature listing tool to retrieve the current taxonomy of tagged UI elements. This allows the model to accurately identify which modules a customer is referring to during a support chat.

Yes, all account metadata accessed via the account details tool is sent over encrypted HTTPS connections directly to your Gemini environment. The Vinkius infrastructure runs this MCP Server in zero-trust sandboxes, ensuring no credentials or raw payloads are exposed.

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