How to Use the QuestionPro MCP in Mastra AI

Q: What if an agent fails to retrieve data from QuestionPro in Mastra AI?

The framework includes built-in retry logic. If a call to getsurveystats fails, the agent will automatically attempt the operation again based on your defined policy.

Build resilient survey automation workflows with Mastra AI and the QuestionPro MCP Server.

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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 Mastra AI

Create your Vinkius account to connect QuestionPro to Mastra AI — 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 Mastra AI

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ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Automated Survey Workflows

Trigger multi-step operations based on survey activity. You can define a workflow that uses `list_surveys_by_folder` to find specific projects and then automatically initiates data retrieval. This setup handles failures internally. If a network blip occurs during a `get_survey` call, the engine manages retries so your data pipeline stays consistent without manual intervention.

Conditional Survey Logic

Implement complex branching based on participant feedback. Your agents can evaluate responses by calling `get_response` and then decide whether to trigger follow-up actions. This creates autonomous feedback loops. You define the rules, and the framework executes the calls to ensure your survey operations adapt to incoming data in real-time.

Structured Data Handling

Map survey questions and metadata into your database with precision. By using `list_questions`, your workflows ensure that every survey structure is correctly identified before processing begins. This eliminates mapping errors. Your agents maintain the integrity of the data pipeline by validating the survey schema before attempting to ingest large volumes of responses.

Setup guide

Set up QuestionPro MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All QuestionPro tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "questionpro-mcp-client",
  servers: {
    "questionpro-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "QuestionPro Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to QuestionPro tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent QuestionPro transactions"
);
console.log(result.text);

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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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

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Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about QuestionPro MCP in Mastra AI

Define the server in your configuration file using the Vinkius endpoint URL. Once connected, your agents can access tools like `list_surveys` as native functions.

Yes, configure your workflow with appropriate backoff intervals. This prevents hitting API limits while keeping your data fresh and synced.

The framework includes built-in retry logic. If a call to `get_survey_stats` fails, the agent will automatically attempt the operation again based on your defined policy.

Use your endpoint token during the initial server registration. This authenticates the connection and ensures only your agents can interact with the tools.

Data is processed within your isolated environment. The server retrieves raw survey responses only when your workflow triggers a specific tool call, ensuring minimal exposure.

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