How to Use the QuestionPro MCP in CrewAI

Deploy specialized agent crews to manage your research with the QuestionPro MCP Server and CrewAI.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect QuestionPro MCP to CrewAI

Create your Vinkius account to connect QuestionPro to CrewAI — 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 CrewAI

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Collaborative Research Teams

Assign one agent to scan for new surveys using `list_surveys` while another specializes in extracting insights with `get_survey_stats`. They share memory to coordinate their actions. This division of labor increases efficiency. One agent acts as a researcher, while the other functions as an analyst, creating a self-correcting loop for your survey operations.

Autonomous Survey Monitoring

Keep your research on track without human oversight. Your crew continuously monitors your folders using `list_surveys_by_folder` to detect newly published surveys. This provides constant visibility. Once a new survey is found, the crew automatically assigns an agent to pull relevant data and flag anomalies in the response patterns.

Targeted Data Extraction

Focus your crew on specific data points using `get_question` and `list_responses`. Agents query only the necessary information to perform their assigned analytical tasks. This keeps your operations lean. By restricting tool access, you ensure each agent has exactly what it needs to perform its job without cluttering your memory or API usage.

Setup guide

Set up QuestionPro MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke QuestionPro tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="QuestionPro Analyst",
    goal="Access and analyze QuestionPro data via MCP.",
    backstory="Expert analyst with direct QuestionPro access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent QuestionPro transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="QuestionPro Analyst",
        goal="Access and analyze QuestionPro data via MCP.",
        backstory="Expert analyst with direct QuestionPro access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent QuestionPro transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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 CrewAI

Pass the Vinkius URL directly to your agent's MCP configuration. The crew will automatically discover tools like `list_surveys` and make them available to your agents.

Yes, use the tool filter in your agent configuration. This prevents specific agents from executing sensitive actions like creating surveys while allowing full read access.

Yes, your crew can perform parallel tasks. For example, multiple agents can query different surveys simultaneously using `get_survey` to save time.

Provide your endpoint token during server initialization. This keeps your credentials out of your code while allowing the crew to authenticate securely.

All data transit is handled through the Vinkius sandbox. The server only exposes raw survey response strings to your agents, ensuring your sensitive participant feedback stays isolated.

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