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 LangChain 10 tools — connect in under 2 minutes

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

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Wenjuanxing / 问卷星 through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

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 langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token — get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "wenjuanxing": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Wenjuanxing / 问卷星, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

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.

LangChain's ecosystem of 500+ components combines seamlessly with Wenjuanxing / 问卷星 through native MCP adapters. Connect 10 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

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

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Wenjuanxing / 问卷星 via MCP

Why Use LangChain with the Wenjuanxing / 问卷星 MCP Server

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

The largest ecosystem of integrations, chains, and agents — combine Wenjuanxing / 问卷星 MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Wenjuanxing / 问卷星 queries for multi-turn workflows

Wenjuanxing / 问卷星 + LangChain Use Cases

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

RAG with live data: combine Wenjuanxing / 问卷星 tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Wenjuanxing / 问卷星, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Wenjuanxing / 问卷星 tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Wenjuanxing / 问卷星 tool call, measure latency, and optimize your agent's performance

Wenjuanxing / 问卷星 MCP Tools for LangChain (10)

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

Ready-to-use prompts you can give your LangChain 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 LangChain

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

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Wenjuanxing / 问卷星 + LangChain FAQ

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

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.