How do I find my Wenjuanxing App ID and Key?

Log in to your Wenjuanxing account (Enterprise/Flagship version), go to the Open API Platform (openapi.wjx.cn) or check the 'API/SSO' section in your user settings to find your App ID and Key.

Can I see quantitative statistics for survey questions?

Yes. Use the `get_stats` tool with your activity ID to retrieve counts and percentages for each answer option in your survey.

Is it possible to search questionnaires by keyword?

Yes! You can use the `query_surveys` tool to find specific questionnaires in your account based on their title or activity keyword.

Wenjuanxing / 问卷星 MCP Server for Pydantic AI 10 tools — connect in under 2 minutes

Name: Wenjuanxing / 问卷星
Availability: InStock
Author: Vinkius

ai.pydantic.dev/mcp

Built by Vinkius GDPR 10 Tools SDK

Pydantic AI brings type-safe agent development to Python with first-class MCP support. Connect Wenjuanxing / 问卷星 through Vinkius and every tool is automatically validated against Pydantic schemas. catch errors at build time, not in production.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from pydantic_ai import Agent
from pydantic_ai.mcp import MCPServerHTTP

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

    agent = Agent(
        model="openai:gpt-4o",
        mcp_servers=[server],
        system_prompt=(
            "You are an assistant with access to Wenjuanxing / 问卷星 "
            "(10 tools)."
        ),
    )

    result = await agent.run(
        "What tools are available in Wenjuanxing / 问卷星?"
    )
    print(result.data)

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.

Pydantic AI validates every Wenjuanxing / 问卷星 tool response against typed schemas, catching data inconsistencies at build time. Connect 10 tools through Vinkius and switch between OpenAI, Anthropic, or Gemini without changing your integration code. full type safety, structured output guarantees, and dependency injection for testable agents.

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 Pydantic 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 Pydantic AI via MCP

Follow these steps to integrate the Wenjuanxing / 问卷星 MCP Server with Pydantic AI.

Install Pydantic AI

Run pip install pydantic-ai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Wenjuanxing / 问卷星 with type-safe schemas

Why Use Pydantic AI with the Wenjuanxing / 问卷星 MCP Server

Pydantic AI provides unique advantages when paired with Wenjuanxing / 问卷星 through the Model Context Protocol.

Full type safety: every MCP tool response is validated against Pydantic models, catching data inconsistencies before they reach your application

Model-agnostic architecture. switch between OpenAI, Anthropic, or Gemini without changing your Wenjuanxing / 问卷星 integration code

Structured output guarantee: Pydantic AI ensures tool results conform to defined schemas, eliminating runtime type errors

Dependency injection system cleanly separates your Wenjuanxing / 问卷星 connection logic from agent behavior for testable, maintainable code

Wenjuanxing / 问卷星 + Pydantic AI Use Cases

Practical scenarios where Pydantic AI combined with the Wenjuanxing / 问卷星 MCP Server delivers measurable value.

Type-safe data pipelines: query Wenjuanxing / 问卷星 with guaranteed response schemas, feeding validated data into downstream processing

API orchestration: chain multiple Wenjuanxing / 问卷星 tool calls with Pydantic validation at each step to ensure data integrity end-to-end

Production monitoring: build validated alert agents that query Wenjuanxing / 问卷星 and output structured, schema-compliant notifications

Testing and QA: use Pydantic AI's dependency injection to mock Wenjuanxing / 问卷星 responses and write comprehensive agent tests

Wenjuanxing / 问卷星 MCP Tools for Pydantic AI (10)

These 10 tools become available when you connect Wenjuanxing / 问卷星 to Pydantic 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 Pydantic AI

Ready-to-use prompts you can give your Pydantic 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 Pydantic AI

Common issues when connecting Wenjuanxing / 问卷星 to Pydantic AI through the Vinkius, and how to resolve them.

MCPServerHTTP not found

Update: pip install --upgrade pydantic-ai

Wenjuanxing / 问卷星 + Pydantic AI FAQ

Common questions about integrating Wenjuanxing / 问卷星 MCP Server with Pydantic AI.

How does Pydantic AI discover MCP tools?

Create an MCPServerHTTP instance with the server URL. Pydantic AI connects, discovers all tools, and generates typed Python interfaces automatically.

Does Pydantic AI validate MCP tool responses?

Yes. When you define result types as Pydantic models, every tool response is validated against the schema. Invalid data raises a clear error instead of silently corrupting your pipeline.

Can I switch LLM providers without changing MCP code?

Absolutely. Pydantic AI abstracts the model layer. your Wenjuanxing / 问卷星 MCP integration works identically with OpenAI, Anthropic, Google, or any supported provider.