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How to Use the Culture Amp MCP in Google ADK

Deploy Gemini-powered agents that analyze Culture Amp employee surveys alongside your BigQuery warehouse using Google ADK.

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Google ADK

Connect Culture Amp MCP to Google ADK

Create your Vinkius account to connect Culture Amp 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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Analyze enterprise feedback at scale

Processing thousands of survey responses requires serious context window capacity. Gemini handles this effortlessly when paired with your HR data. Your Google ADK agent pulls massive datasets into memory and reasons across entire organizational hierarchies without dropping details. The agent executes `list_engagement_surveys` to grab recent cycles. From there, it calls `get_survey_details` and `list_analytics_datasets` to feed raw metrics into your Vertex AI pipelines. You get instant visibility into team morale without writing manual extraction scripts.

Map organizational structures

Keeping your Google Cloud identity systems synced with HR realities is notoriously difficult. This MCP Server bridges that gap by exposing your exact reporting lines to your Gemini agents. They audit group assignments and flag discrepancies automatically. By running `list_organizational_groups` and `list_employees`, the agent builds a complete graph of your workforce. When managers need their team's data, the agent uses `search_employees_by_name` to verify their identity before pulling the requested reports.

Plug Culture Amp into Google ADK

Connecting these systems via MCP takes just a few lines of Python. You initialize a `McpToolset` with your Vinkius endpoint parameters and hand it directly to your `LlmAgent`. The framework handles the HTTP transport natively. Sometimes you only want an agent to read data, not write it. You restrict the exposed operations by passing a `tool_names` filter. This ensures your agent only has access to `list_demographic_fields` and `get_employee_details`, strictly preventing it from calling `create_employee_record`.

Setup guide

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

Install the `google-adk` package. Set up a `StreamableHttpServerParameters` object with your Vinkius URL, wrap it in an `McpToolset`, and pass it to your `LlmAgent` tools array.
Yes. Your agent can pull engagement metrics using `get_survey_details` and immediately write that data into BigQuery tables for long-term storage. The massive context window of Gemini makes processing these large datasets simple.
You can restrict access easily. Pass an array of specific strings to the `tool_names` parameter in your toolset to prevent the agent from seeing certain endpoints.
Give your Gemini agent a name or email address. It automatically triggers `search_employees_by_name` to locate the correct profile within your directory.
Every request routes through an ephemeral V8 sandbox hosted by Vinkius. When your agent queries `list_demographic_fields` or pulls individual profiles, the memory state wipes immediately after the HTTP response. We never store your organizational hierarchies or survey results.

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