3,400+ MCP servers ready to use
Vinkius

QuestionPro MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 13 tools to Check Questionpro Status, Create Survey, Get Question, and more

Built by Vinkius GDPR 13 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect QuestionPro through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The QuestionPro app connector for OpenAI Agents SDK 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
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="QuestionPro Assistant",
            instructions=(
                "You help users interact with QuestionPro. "
                "You have access to 13 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from QuestionPro"
        )
        print(result.final_output)

asyncio.run(main())
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.

The OpenAI Agents SDK auto-discovers all 13 tools from QuestionPro through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries QuestionPro, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents SDK 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 OpenAI Agents SDK

When OpenAI Agents SDK 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 OpenAI Agents SDK via MCP

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

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

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

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 13 tools from QuestionPro

Why Use OpenAI Agents SDK with the QuestionPro MCP Server

OpenAI Agents SDK provides unique advantages when paired with QuestionPro through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

QuestionPro + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the QuestionPro MCP Server delivers measurable value.

01

Automated workflows: build agents that query QuestionPro, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries QuestionPro, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through QuestionPro tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query QuestionPro to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for QuestionPro in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK 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 OpenAI Agents SDK

Common issues when connecting QuestionPro to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

QuestionPro + OpenAI Agents SDK FAQ

Common questions about integrating QuestionPro MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.