Wenjuanxing / 问卷星 MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Wenjuanxing / 问卷星 and 2,500+ MCP Servers from a single visual interface.
{
"mcpServers": {
"wenjuanxing": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns Wenjuanxing / 问卷星 into an in-editor superpower. Ask Cursor to generate code using live data from Wenjuanxing / 问卷星 and it fetches, processes, and writes — all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the Wenjuanxing / 问卷星 MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using Wenjuanxing / 问卷星
Open Agent mode in chat and ask: "Using Wenjuanxing / 问卷星, help me..." — 10 tools available
Why Use Cursor with the Wenjuanxing / 问卷星 MCP Server
Cursor AI Code Editor provides unique advantages when paired with Wenjuanxing / 问卷星 through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP — no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Wenjuanxing / 问卷星 + Cursor Use Cases
Practical scenarios where Cursor combined with the Wenjuanxing / 问卷星 MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Wenjuanxing / 问卷星 MCP Tools for Cursor (10)
These 10 tools become available when you connect Wenjuanxing / 问卷星 to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting Wenjuanxing / 问卷星 to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Wenjuanxing / 问卷星 + Cursor FAQ
Common questions about integrating Wenjuanxing / 问卷星 MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.