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