Wenjuanxing / 问卷星 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Wenjuanxing / 问卷星 through the Vinkius and Mastra agents discover all tools automatically — type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token — get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"wenjuanxing": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Wenjuanxing / 问卷星 Agent",
instructions:
"You help users interact with Wenjuanxing / 问卷星 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Wenjuanxing / 问卷星?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Wenjuanxing / 问卷星 tool infrastructure. Connect 10 tools through the Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution — deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Wenjuanxing / 问卷星 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Wenjuanxing / 问卷星 via MCP
Why Use Mastra AI with the Wenjuanxing / 问卷星 MCP Server
Mastra AI provides unique advantages when paired with Wenjuanxing / 问卷星 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure — add Wenjuanxing / 问卷星 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Wenjuanxing / 问卷星 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host — Vercel, Railway, Fly.io, or your own infrastructure
Wenjuanxing / 问卷星 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Wenjuanxing / 问卷星 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Wenjuanxing / 问卷星, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Wenjuanxing / 问卷星 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Wenjuanxing / 问卷星 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Wenjuanxing / 问卷星 tools alongside other MCP servers
Wenjuanxing / 问卷星 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Wenjuanxing / 问卷星 to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Wenjuanxing / 问卷星 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpWenjuanxing / 问卷星 + Mastra AI FAQ
Common questions about integrating Wenjuanxing / 问卷星 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
Connect Wenjuanxing / 问卷星 with your favorite client
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Connect Wenjuanxing / 问卷星 to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.