Bring Market Research
to Pydantic AI
Learn how to connect QuestionPro to Pydantic AI and start using 13 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the 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.
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
How it works
1. Log in to your QuestionPro account 2. Go to Integrations to generate your unique API key 3. Link the key in Vinkius to enable AI-powered survey managementWho is it for?
Ideal for market researchers, HR teams, and product managers needing fast, AI-driven insights from customer and employee feedback.Built-in capabilities (13)
Verify connectivity
Create a survey
Get question details
Get response details
Get survey details
Get survey statistics
List email lists
List folders
List survey questions
List survey responses
List surveys
List surveys by folder
List account users
Why Pydantic AI?
Pydantic AI validates every QuestionPro tool response against typed schemas, catching data inconsistencies at build time. Connect 13 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.
- —
Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application
- —
Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your QuestionPro integration code
- —
Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors
- —
Dependency injection system cleanly separates your QuestionPro connection logic from agent behavior for testable, maintainable code
QuestionPro in Pydantic AI
QuestionPro and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect QuestionPro to Pydantic AI through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for QuestionPro in Pydantic AI
The QuestionPro 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. All 13 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in Pydantic AI only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* 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
How Vinkius secures
QuestionPro for Pydantic AI
Every tool call from Pydantic AI to the QuestionPro MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
Can I view response details?
Yes, access individual survey responses with complete answer data and timestamps, or list all responses for analysis.
Can I export data from folders?
Yes, you can filter and retrieve all surveys or specific responses contained within a specific folder.
How to handle API Limits?
The API includes rate limits depending on your plan. The MCP handles basic pagination efficiently to avoid exceeding them.
How does Pydantic AI discover MCP tools?
Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.
Does Pydantic AI validate MCP tool responses?
Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.
Can I switch LLM providers without changing MCP code?
Absolutely. Pydantic AI abstracts the model layer. your QuestionPro MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.
MCPServerHTTP not found
Update: pip install --upgrade pydantic-ai