How to Use the Wenjuanxing / 问卷星 MCP in Mastra AI

Q: How can I process Wenjuanxing / 问卷星 reports using Mastra AI?

You set up a workflow that first calls getreport. If the report is not ready, the agent waits and retries automatically. This ensures you get fresh data every time.

Q: Can I automate listing surveys with Wenjuanxing / 问卷星 using Mastra AI?

Yes. Use listsurveys within your multi-step workflow. The agent will gather the list and then allow subsequent steps to process each questionnaire individually.

Q: Does Wenjuanxing / 问卷星 and Mastra AI support checking groups?

You use listgroups to get a roster of survey groups. This is great for building workflows that target specific segments of respondents.

Q: If I change a form's status, does Wenjuanxing / 问卷星 and Mastra AI know?

Absolutely. Calling updatesurveystatus immediately updates the record. Your workflow can then proceed based on that confirmed new state.

Build fault-tolerant multi-step automation with Mastra AI and Wenjuanxing / 问卷星.

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Connect Wenjuanxing / 问卷星 MCP to Mastra AI

Create your Vinkius account to connect Wenjuanxing / 问卷星 to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Wenjuanxing / 问卷星 with Mastra AI

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Manage Survey Lifecycles via MCP Server

You can build a workflow that checks if a survey is active before attempting to pull results. The `update_survey_status` tool lets your agent conditionally change the status (publish/pause). If the initial check fails, the Mastra AI client automatically retries the status update using exponential backoff, ensuring the state change actually happens.

Extract and Analyze Survey Data

A complex workflow might first call `get_stats` to get summary metrics. If those stats are incomplete, it can then trigger a call to `list_responses`. This conditional logic handles failure gracefully. The MCP Server ensures that even if the data source is momentarily unavailable, your process doesn't crash; it retries until success.

Handle Multiple Questionnaires with Mastra AI

Need to check ten different forms? You can use `list_surveys` and then loop through the results. The workflow engine handles this iteration, ensuring every single questionnaire is checked. This allows you to build a robust sequence: list all surveys -> get details for each one (`get_survey`) -> confirm status.

Setup guide

Set up Wenjuanxing / 问卷星 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 Wenjuanxing / 问卷星 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: "wenjuanxing-mcp-client",
  servers: {
    "wenjuanxing-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

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

const result = await agent.generate(
  "List recent Wenjuanxing / 问卷星 transactions"
);
console.log(result.text);

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Common questions about Wenjuanxing / 问卷星 MCP in Mastra AI

You set up a workflow that first calls `get_report`. If the report is not ready, the agent waits and retries automatically. This ensures you get fresh data every time.

The server handles user account metadata, survey responses, and questionnaire details. Since this is a critical workflow, the MCP Server ensures reliable handling of these sensitive data types.

Yes. Use `list_surveys` within your multi-step workflow. The agent will gather the list and then allow subsequent steps to process each questionnaire individually.

You use `list_groups` to get a roster of survey groups. This is great for building workflows that target specific segments of respondents.

Absolutely. Calling `update_survey_status` immediately updates the record. Your workflow can then proceed based on that confirmed new state.

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