Bring Market Research
to LlamaIndex
Learn how to connect QuestionPro to LlamaIndex 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 LlamaIndex?
LlamaIndex agents combine QuestionPro tool responses with indexed documents for comprehensive, grounded answers. Connect 13 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine QuestionPro tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain QuestionPro tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query QuestionPro, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what QuestionPro tools were called, what data was returned, and how it influenced the final answer
QuestionPro in LlamaIndex
QuestionPro and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect QuestionPro to LlamaIndex 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 LlamaIndex
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 LlamaIndex 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 LlamaIndex
Every tool call from LlamaIndex 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 LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query QuestionPro tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp