Wenjuanxing / 问卷星 MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Wenjuanxing / 问卷星 through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token — get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Wenjuanxing / 问卷星, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
main();
* 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
About Wenjuanxing / 问卷星 MCP Server
Empower your AI agent to orchestrate your data collection and research with Wenjuanxing (WJX), the premier online survey platform in China. By connecting Wenjuanxing to your agent, you transform complex questionnaire management, response auditing, and data analysis into a natural conversation. Your agent can instantly list your surveys, retrieve detailed structure and metadata, monitor real-time response counts, and even generate high-level analysis reports without you ever needing to navigate the comprehensive web interface. Whether you are conducting market research or auditing employee engagement, your agent acts as a real-time research assistant, keeping your data accurate and your insights moving.
The Vercel AI SDK gives every Wenjuanxing / 问卷星 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
What you can do
- Survey Orchestration — List all questionnaires and retrieve detailed structure and metadata for each.
- Response Monitoring — List and retrieve actual response data to monitor participation and engagement.
- Analytical Reporting — Retrieve high-level summary reports and quantitative statistics for survey results.
- Content Control — Create new survey structures and update the status of existing questionnaires.
- Organization Insights — Browse survey folders and retrieve metadata about your Wenjuanxing account.
The Wenjuanxing / 问卷星 MCP Server exposes 10 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect Wenjuanxing / 问卷星 to Vercel AI SDK via MCP
Follow these steps to integrate the Wenjuanxing / 问卷星 MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Wenjuanxing / 问卷星 and passes them to the LLM
Why Use Vercel AI SDK with the Wenjuanxing / 问卷星 MCP Server
Vercel AI SDK provides unique advantages when paired with Wenjuanxing / 问卷星 through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Wenjuanxing / 问卷星 integration everywhere
Built-in streaming UI primitives let you display Wenjuanxing / 问卷星 tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Wenjuanxing / 问卷星 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Wenjuanxing / 问卷星 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Wenjuanxing / 问卷星 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Wenjuanxing / 问卷星 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Wenjuanxing / 问卷星 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Wenjuanxing / 问卷星 through natural language queries
Wenjuanxing / 问卷星 MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Wenjuanxing / 问卷星 to Vercel AI SDK via MCP:
create_survey
Create a new questionnaire
get_account_info
Get user account metadata
get_report
Get survey summary report
get_stats
Get survey statistics
get_survey
Get questionnaire details
list_groups
List survey groups
list_responses
List survey responses
list_surveys
List questionnaires
query_surveys
Search questionnaires by keyword
update_survey_status
g., publish, pause) of a specific survey. Update survey status
Example Prompts for Wenjuanxing / 问卷星 in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Wenjuanxing / 问卷星 immediately.
"List all active surveys in my Wenjuanxing account."
"Show me the responses for survey activity '8821'."
"What are the statistics for questionnaire '9920'?"
Troubleshooting Wenjuanxing / 问卷星 MCP Server with Vercel AI SDK
Common issues when connecting Wenjuanxing / 问卷星 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpWenjuanxing / 问卷星 + Vercel AI SDK FAQ
Common questions about integrating Wenjuanxing / 问卷星 MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Wenjuanxing / 问卷星 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Wenjuanxing / 问卷星 to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.