How to Use the QuestionPro MCP in Google ADK

Q: How does Google ADK handle QuestionPro API connection errors?

The agent can execute checkquestionprostatus to verify the connection before starting a run. If the check fails, your ADK workflow can catch the exception and alert your team.

Q: Can I limit the tools exposed by the QuestionPro MCP Server to my Google ADK agent?

Yes, you can use the toolnames filter in McpToolset to restrict the agent. For example, you can expose only getsurveystats and block survey creation tools.

Q: How does the Google ADK integration secure QuestionPro data?

Data retrieved via listquestions and getsurveystats is held in memory during the agent's execution loop. Vinkius manages the connection credentials securely in ephemeral sandboxes, keeping your corporate survey data private.

Feed live QuestionPro survey responses directly to Google ADK agents for enterprise BigQuery analytics.

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MCP Servers — Included with Plan

Connect QuestionPro MCP to Google ADK

Create your Vinkius account to connect QuestionPro to Google ADK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup QuestionPro with Google ADK

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Process high-volume QuestionPro responses via Google ADK

Gemini's massive context window is perfect for reading thousands of survey responses at once. Your Google ADK agent calls `list_responses` to pull the raw feedback and feeds it directly into the model context. By wrapping this MCP Server in `McpToolset`, your enterprise agent can run deep qualitative analysis on thousands of open-ended answers without hitting token limits.

Check QuestionPro statistics with the MCP Server

Keep your Google Cloud data pipelines updated with real-time survey performance. The agent calls `get_survey_stats` to monitor completion metrics and trigger alerts if response rates drop. You can connect this toolset directly to Vertex AI pipelines. The agent uses the statistics to determine if a survey has gathered enough data to run predictive modeling.

Organize enterprise surveys dynamically

Large corporations have hundreds of active questionnaires. Your agent uses `list_folders` and `list_surveys_by_folder` to find the exact survey it needs to analyze. This keeps your data pipelines clean. Instead of searching through every single survey, the agent targets specific folders to fetch only the relevant data.

Setup guide

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

First, run pip install google-adk in your environment. Then, initialize McpToolset with the Vinkius HTTP transport URL and pass it to your LlmAgent configuration.

Yes, you can write an agent that retrieves raw data using list_responses and writes it to BigQuery. The agent uses the MCP tool to fetch the data and standard Google Cloud SDKs to load it.

The agent can execute check_questionpro_status to verify the connection before starting a run. If the check fails, your ADK workflow can catch the exception and alert your team.

Yes, you can use the tool_names filter in McpToolset to restrict the agent. For example, you can expose only get_survey_stats and block survey creation tools.

Data retrieved via list_questions and get_survey_stats is held in memory during the agent's execution loop. Vinkius manages the connection credentials securely in ephemeral sandboxes, keeping your corporate survey data private.

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