How to Use the Wenjuanxing / 问卷星 MCP in Vercel AI SDK

Q: How do I search for forms using Wenjuanxing / 问卷星 and Vercel AI SDK?

You call querysurveys with the keyword. Your agent gets a list of matching questionnaires back. You can then stream that list directly into your React component.

Q: Can I check a form's status with Wenjuanxing / 问卷星 using Vercel AI SDK?

Yes, use updatesurveystatus. This tool lets you programmatically publish or pause any specific survey. It’s fast and perfect for front-end controls.

Q: How do I list all existing surveys using Wenjuanxing / 问卷星 and Vercel AI SDK?

Simply use listsurveys. This returns a full catalog of questionnaires. The results stream in, so your user sees the entire list building out on the screen.

Q: Does Wenjuanxing / 问卷星 and Vercel AI SDK support listing responses?

Yep. You can use listresponses to pull all submitted answers for a given survey. This data streams right into your UI, letting you display the raw results immediately.

Real-time survey data streaming into your frontend using Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Wenjuanxing / 问卷星 MCP to Vercel AI SDK

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

GDPR Free for Subscribers

Setup Wenjuanxing / 问卷星 with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Check Survey Status with Wenjuanxing / 问卷星

Need to publish or pause a form right away? Use the `update_survey_status` tool to change a survey's live status. This is crucial for controlling when users can access your questionnaires. It sends an instant update so you know exactly when your form goes live, whether it was paused or set to 'published'. The data appears in the UI as soon as the API call resolves.

Generate Reports on Demand with MCP Server

Pull detailed results directly into your Next.js page using `get_report`. You don't wait for a loading spinner; you see the summary report stream in real time. This tool takes complex data and presents it cleanly, letting the end user see the numbers populating instantly as they are retrieved from Wenjuanxing / 问卷星.

Search Questionnaires with Vercel AI SDK

Find specific forms quickly using `query_surveys`. Instead of clicking through dozens of lists, your agent searches the questionnaire library by keyword. It returns a list of matching surveys so you can immediately direct the user to the right form. This keeps the interaction fast and feels genuinely real-time.

Setup guide

Set up Wenjuanxing / 问卷星 MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Wenjuanxing / 问卷星 tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Wenjuanxing / 问卷星 transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Wenjuanxing / 问卷星. 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.

Connect Wenjuanxing / 问卷星 now

Real-time monitoring

Live

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%

lower AI costs

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 Wenjuanxing / 问卷星 MCP in Vercel AI SDK

You call `query_surveys` with the keyword. Your agent gets a list of matching questionnaires back. You can then stream that list directly into your React component.

The server touches questionnaire details, survey statistics, and user account metadata. Always ensure your client handles these types of sensitive data securely.

Yes, use `update_survey_status`. This tool lets you programmatically publish or pause any specific survey. It’s fast and perfect for front-end controls.

Simply use `list_surveys`. This returns a full catalog of questionnaires. The results stream in, so your user sees the entire list building out on the screen.

Yep. You can use `list_responses` to pull all submitted answers for a given survey. This data streams right into your UI, letting you display the raw results immediately.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript