How to Use the Wenjuanxing / 问卷星 MCP in AutoGen

Q: What if I need a decision on publishing a Wenjuanxing / 问卷星 form?

You set up two agents: one that proposes action (calling updatesurveystatus) and another that acts as the 'Guardrail,' forcing consensus before the change happens.

Run multi-agent decision making for Wenjuanxing / 问卷星 using AutoGen.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Wenjuanxing / 问卷星 MCP to AutoGen

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

GDPR Free for Subscribers

Setup Wenjuanxing / 问卷星 with AutoGen

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent consensus on MCP Server actions

You build a system where agents debate the best course of action. For instance, one agent might suggest publishing a survey via `update_survey_status`, while another agent checks historical data using `list_surveys` to flag potential issues first.

Simulating report generation with AutoGen

Need a final decision on reporting? Set up agents where one is the 'Analyst' (calling `get_stats`) and another is the 'Reviewer' (checking for inconsistencies). They negotiate until they agree on the final summary findings.

Complex data discovery using AutoGen

If you need to find a specific survey, you don't just call one tool. You let agents discuss: 'Should we search by keyword (`query_surveys`) or list all and filter?' The debate converges on the most efficient path.

Setup guide

Set up Wenjuanxing / 问卷星 MCP in AutoGen

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] package
Active Vinkius subscription with a valid endpoint token

1

Install AutoGen with MCP
Run pip install "autogen-ext[mcp]" autogen-agentchat. The MCP extension includes mcp_server_tools for stateless tool access.
2

Fetch tools from the MCP
Call mcp_server_tools(SseServerParams(url=...)) with your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Run your agent
Pass the tools to AssistantAgent and call agent.run(). The agent invokes Wenjuanxing / 问卷星 tools and returns structured results.

agent.py

from autogen_ext.tools.mcp import SseServerParams, mcp_server_tools
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

tools = await mcp_server_tools(server_params)

agent = AssistantAgent(
    name="Wenjuanxing / 问卷星_assistant",
    model_client=OpenAIChatCompletionClient(model="gpt-4o"),
    tools=tools,
)

result = await agent.run("List recent Wenjuanxing / 问卷星 data")
print(result.messages[-1].content)

Get your connection token →

Prerequisites

Python 3.10+ installed
autogen-ext[mcp] + autogen-agentchat
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Same packages as above. McpWorkbench is ideal when your agent needs stateful sessions across multiple tool calls.
2

Use McpWorkbench as context manager
Wrap your agent in async with McpWorkbench(...) to maintain shared state and resources. The workbench manages the full MCP session lifecycle.
3

Run with workbench
Pass workbench=workbench to your agent. State is preserved across multiple tool calls within the same session.

agent.py

from autogen_ext.tools.mcp import McpWorkbench, SseServerParams
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.models.openai import OpenAIChatCompletionClient

server_params = SseServerParams(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

async with McpWorkbench(server_params) as workbench:
    agent = AssistantAgent(
        name="Wenjuanxing / 问卷星_assistant",
        model_client=OpenAIChatCompletionClient(model="gpt-4o"),
        workbench=workbench,
    )

    result = await agent.run("List recent Wenjuanxing / 问卷星 data")
    print(result.messages[-1].content)

Get your connection token →

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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Wenjuanxing / 问卷星 now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Wenjuanxing / 问卷星 MCP in AutoGen

It allows you to model complex, non-linear workflows. Instead of simple execution, agents talk things through—for example, debating whether `get_report` or `get_stats` gives a more useful view.

Yes. By using the multi-agent framework, you can assign different agents to manage separate account instances or functional areas of the questionnaire data.

You set up two agents: one that proposes action (calling `update_survey_status`) and another that acts as the 'Guardrail,' forcing consensus before the change happens.

No. The adapter handles schema conversion automatically. As long as the Wenjuanxing / 问卷星 tool provides structured output, your agents can use it without manual formatting.

The server touches survey response metadata. This includes questionnaire details from `get_survey`, group lists, and the current status of published forms.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript