How to Use the CustomerGauge MCP in Google ADK

Q: Can I restrict which CustomerGauge MCP Server tools Google ADK exposes?

You pass a toolnames filter when setting up the toolset. This limits the agent to specific operations like fetching NPS scores while hiding revenue data.

Feed CustomerGauge MCP Server metrics and survey data into your Google ADK agents for enterprise-scale reasoning.

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Connect CustomerGauge MCP to Google ADK

Create your Vinkius account to connect CustomerGauge 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 CustomerGauge with Google ADK

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Feed Gemini massive survey contexts

Running `list_survey_responses` returns exact response IDs, NPS scores, and timestamps for your Google ADK agents to process. Gemini's massive context window swallows thousands of these responses at once without choking. You do not need to chunk or summarize the data prematurely. The agent reads the raw output from `get_response_details` and cross-references it with your existing BigQuery data to spot hidden churn signals.

Map revenue impact on Google Cloud

The `list_revenue_impact_data` tool fetches the monetary values associated with specific account sentiment directly from CustomerGauge. Your agent takes this financial data and pushes it into Vertex AI pipelines for predictive modeling. Tying sentiment to dollars requires accurate organizational mapping. Calling `list_b2b_accounts` gives the agent the exact hierarchy it needs to structure the data correctly before analysis.

CustomerGauge MCP Server targeted search

Executing `search_responses_by_keyword` lets your agent zero in on specific feedback themes across the entire indexed text boundary. Instead of pulling everything, the agent asks for exact matches. When the search hits a critical account, the agent pivots to `get_contact_profile`. It pulls the individual's survey history and sentiment trends to build a complete picture of the relationship.

Setup guide

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

Install google-adk and configure McpToolset using StreamableHttpServerParameters with your Vinkius URL. Pass it to your LlmAgent in the tools list.

You pass a tool_names filter when setting up the toolset. This limits the agent to specific operations like fetching NPS scores while hiding revenue data.

The server connects natively to any model supported by the framework. Gemini handles the massive text outputs from survey searches easily.

It calls the business unit NPS tool to resolve organizational performance data. The agent then maps these metrics to your internal structures.

Vinkius executes every request in a zero-trust V8 Isolate Sandbox. The agent accesses interaction history and sentiment trends only through a single endpoint token, discarding the data after the session ends.

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