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QuestionPro MCP Server for CrewAIGive CrewAI instant access to 13 tools to Check Questionpro Status, Create Survey, Get Question, and more

Built by Vinkius GDPR 13 Tools Framework

Connect your CrewAI agents to QuestionPro through Vinkius, pass the Edge URL in the `mcps` parameter and every QuestionPro tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The QuestionPro app connector for CrewAI is a standout in the Data Analytics category — giving your AI agent 13 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="QuestionPro Specialist",
    goal="Help users interact with QuestionPro effectively",
    backstory=(
        "You are an expert at leveraging QuestionPro tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in QuestionPro "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 13 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
QuestionPro
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About QuestionPro MCP Server

Bring advanced survey analytics into your AI workflow with QuestionPro. Your agents can orchestrate end-to-end feedback loops by filtering folders for active campaigns, compiling real-time response statistics, retrieving granular participant data, and maintaining contact lists—all executed conversationally.

When paired with CrewAI, QuestionPro becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call QuestionPro tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

  • Create, retrieve, and organize surveys with folder filtering
  • Analyze real-time survey statistics and completion rates
  • Collect and inspect individual respondent data
  • Manage question banks and user administration
  • Organize email outreach lists efficiently

Who is it for?

Ideal for market researchers, HR teams, and product managers needing fast, AI-driven insights from customer and employee feedback.

The QuestionPro MCP Server exposes 13 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 13 QuestionPro tools available for CrewAI

When CrewAI connects to QuestionPro through Vinkius, your AI agent gets direct access to every tool listed below — spanning market-research, customer-feedback, employee-engagement, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_questionpro_status

Verify connectivity

create_survey

Create a survey

get_question

Get question details

get_response

Get response details

get_survey

Get survey details

get_survey_stats

Get survey statistics

list_email_lists

List email lists

list_folders

List folders

list_questions

List survey questions

list_responses

List survey responses

list_surveys

List surveys

list_surveys_by_folder

List surveys by folder

list_users

List account users

Connect QuestionPro to CrewAI via MCP

Follow these steps to wire QuestionPro into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 13 tools from QuestionPro

Why Use CrewAI with the QuestionPro MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with QuestionPro through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

QuestionPro + CrewAI Use Cases

Practical scenarios where CrewAI combined with the QuestionPro MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries QuestionPro for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries QuestionPro, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain QuestionPro tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries QuestionPro against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for QuestionPro in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with QuestionPro immediately.

01

"Show response rate and completion stats for our customer satisfaction survey"

02

"Show me all active surveys with their response rates and completion percentages."

03

"Export the detailed analytics report for the Customer Experience 2025 survey."

Troubleshooting QuestionPro MCP Server with CrewAI

Common issues when connecting QuestionPro to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

QuestionPro + CrewAI FAQ

Common questions about integrating QuestionPro MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.