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Wenjuanxing / 问卷星 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Wenjuanxing / 问卷星 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Vinkius supports streamable HTTP and SSE.

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Wenjuanxing / 问卷星 Assistant",
            instructions=(
                "You help users interact with Wenjuanxing / 问卷星. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Wenjuanxing / 问卷星"
        )
        print(result.final_output)

asyncio.run(main())
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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 OpenAI Agents SDK auto-discovers all 10 tools from Wenjuanxing / 问卷星 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Wenjuanxing / 问卷星, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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 OpenAI Agents 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 OpenAI Agents SDK via MCP

Follow these steps to integrate the Wenjuanxing / 问卷星 MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

03

Run the script

Save the code above and run it: python agent.py

04

Explore tools

The agent will automatically discover 10 tools from Wenjuanxing / 问卷星

Why Use OpenAI Agents SDK with the Wenjuanxing / 问卷星 MCP Server

OpenAI Agents SDK provides unique advantages when paired with Wenjuanxing / 问卷星 through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Wenjuanxing / 问卷星 + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Wenjuanxing / 问卷星 MCP Server delivers measurable value.

01

Automated workflows: build agents that query Wenjuanxing / 问卷星, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Wenjuanxing / 问卷星, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Wenjuanxing / 问卷星 tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Wenjuanxing / 问卷星 to resolve tickets, look up records, and update statuses without human intervention

Wenjuanxing / 问卷星 MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Wenjuanxing / 问卷星 to OpenAI Agents SDK via MCP:

01

create_survey

Create a new questionnaire

02

get_account_info

Get user account metadata

03

get_report

Get survey summary report

04

get_stats

Get survey statistics

05

get_survey

Get questionnaire details

06

list_groups

List survey groups

07

list_responses

List survey responses

08

list_surveys

List questionnaires

09

query_surveys

Search questionnaires by keyword

10

update_survey_status

g., publish, pause) of a specific survey. Update survey status

Example Prompts for Wenjuanxing / 问卷星 in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Wenjuanxing / 问卷星 immediately.

01

"List all active surveys in my Wenjuanxing account."

02

"Show me the responses for survey activity '8821'."

03

"What are the statistics for questionnaire '9920'?"

Troubleshooting Wenjuanxing / 问卷星 MCP Server with OpenAI Agents SDK

Common issues when connecting Wenjuanxing / 问卷星 to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Wenjuanxing / 问卷星 + OpenAI Agents SDK FAQ

Common questions about integrating Wenjuanxing / 问卷星 MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.

Connect Wenjuanxing / 问卷星 to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.