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How to Use the Wenjuanxing / 问卷星 MCP in OpenAI Agents SDK

Connects to Wenjuanxing / 问卷星: Build reliable survey data pipelines with OpenAI Agents SDK.

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OpenAI Agents SDK

Connect Wenjuanxing / 问卷星 MCP to OpenAI Agents SDK

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

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Manage the Survey Lifecycle

Your agent handles creating and managing questionnaires entirely. It lets you `create_survey` to build new forms, or use `list_surveys` and `query_surveys` to find existing ones by keyword. Need to change a form's availability? You can call `update_survey_status` to publish, pause, or take a questionnaire offline. This keeps your production agent workflow safe from accidental edits.

Extracting and Analyzing Responses

Getting the data is straightforward using Wenjuanxing / 问卷星's tools. You can list all responses via `list_responses`, or pull raw details by calling `get_survey` for a specific form. For quick overviews, your agent runs `get_report` to get the summary report, and uses `get_stats` when it needs hard numbers on participation rates. It makes data retrieval reliable.

Deep Account and Group Access

Beyond surveys, you can manage the organizational structure of your data. Use `list_groups` to see which internal groups are tied to the survey platform. Account visibility is handled by `get_account_info`, giving your agent metadata about the user running the workflow. This helps ensure that subsequent actions have proper context.

Setup guide

Set up Wenjuanxing / 问卷星 MCP in OpenAI Agents SDK

Prerequisites

  • Python 3.10+ installed
  • openai-agents package (pip install openai-agents)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Install the SDK

    Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.

  2. 2

    Connect via SSE transport

    Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Wenjuanxing / 问卷星 tools at runtime.

  3. 3

    Create your Agent

    Pass the MCP to Agent(mcp_servers=[server]). The agent receives Wenjuanxing / 问卷星 tools as native definitions — JSON schemas resolve automatically.

  4. 4

    Run the agent

    Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Wenjuanxing / 问卷星 tools and returns structured results. Copy the full example on the right to get started.

agent.py
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Wenjuanxing / 问卷星 Agent",
            instructions="You have access to Wenjuanxing / 问卷星 tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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.

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Common questions about Wenjuanxing / 问卷星 MCP in OpenAI Agents SDK

Your OpenAI agent auto-discovers all available tools from the MCP Server, so you don't need manual setup. This means your agent can use functions like `get_stats` and `list_responses` right out of the box.
Yes. The agent runs the `update_survey_status` tool, letting you publish or pause any questionnaire without needing to log into the web interface first.
You can get both high-level summaries via `get_report` and granular, detailed lists of every single submission using `list_responses`. The agent handles it all.
Absolutely. Because the tools are auto-discovered and designed for production agents, your system can chain actions—for example, listing surveys, then updating one's status, and finally getting its stats.
The server handles user account metadata via `get_account_info`, along with raw survey response data pulled through `list_responses` and statistical aggregates from `get_stats`.

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