How to Use the QuestionPro MCP in AutoGen

Q: Can one AutoGen agent pull QuestionPro data and another analyze it?

Yes. An ingestion agent can call listresponses to gather the raw data, then pass that payload to an analyst agent for sentiment evaluation.

Q: How do AutoGen agents handle QuestionPro folder structures?

The agents query listsurveysbyfolder to understand where different campaigns live. They can then assign specific agents to monitor specific folders based on their role.

Q: How is my QuestionPro email list data protected during AutoGen execution?

Email lists retrieved via listemaillists are processed entirely within the Vinkius zero-trust sandbox. The data is never stored on disk and is only visible to the active AutoGen session during this MCP session.

Let AutoGen agents debate and analyze QuestionPro survey metrics via this MCP Server to reach consensus on customer sentiment.

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Connect QuestionPro MCP to AutoGen

Create your Vinkius account to connect QuestionPro to AutoGen — 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 AutoGen

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Let AutoGen agents audit your QuestionPro data

The `get_survey_stats` tool feeds raw completion metrics from QuestionPro to a group of AutoGen agents for cooperative analysis. A data analyst agent can pull the numbers, while a manager agent evaluates if the response volume is statistically significant. If the QuestionPro volume is low, the AutoGen agents can coordinate to check `list_email_lists` and draft a follow-up campaign. This multi-agent deliberation ensures you don't act on incomplete or biased survey samples.

Run consensus-driven survey design with this MCP Server

The `create_survey` tool allows your AutoGen agents to collaborate on building new QuestionPro questionnaires. One agent drafts the questions, another inspects them for bias using `get_question`, and a third executes the creation call once consensus is reached. This collaborative loop prevents poorly formatted questions from reaching your customers. The AutoGen agents review the final QuestionPro structure using `list_questions` before launching the campaign.

Coordinate response analysis across agents

The `list_responses` tool provides the raw text from QuestionPro that your AutoGen agents analyze in parallel. An analyst agent extracts individual sentiments, while a compliance agent flags any sensitive personal data. This division of labor keeps your analysis fast and accurate. The AutoGen agents debate their findings from `get_response` in a shared group chat before outputting a final, audited summary.

Setup guide

Set up QuestionPro MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes QuestionPro tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="QuestionPro_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent QuestionPro data")
print(result.messages[-1].content)

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Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="QuestionPro_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent QuestionPro data")
    print(result.messages[-1].content)

Get your connection token →

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 AutoGen

You register the MCP tools with your AssistantAgent using the MCP Tool Adapter. This translates the server schema into the format AutoGen agents need to execute calls like `list_surveys`.

Yes. An ingestion agent can call `list_responses` to gather the raw data, then pass that payload to an analyst agent for sentiment evaluation.

The agents query `list_surveys_by_folder` to understand where different campaigns live. They can then assign specific agents to monitor specific folders based on their role.

AutoGen connects to the server using the Streamable HTTP transport, which handles schema conversion automatically for all 13 tools.

Email lists retrieved via `list_email_lists` are processed entirely within the Vinkius zero-trust sandbox. The data is never stored on disk and is only visible to the active AutoGen session during this MCP session.

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