How to Use the Wenjuanxing / 问卷星 MCP in CrewAI

Q: How do I get a report using Wenjuanxing / 问卷星 and CrewAI?

You assign the 'Analyst' agent the task of running getreport. The agent executes this tool call, retrieves the summary, and shares it with the rest of the crew for final review.

Q: Can I check multiple forms using Wenjuanxing / 问卷星 and CrewAI?

Absolutely. The 'Coordinator' agent can use listsurveys to gather IDs, then delegate subsequent tasks (like checking status via getsurvey) for each ID in sequence.

Q: Does Wenjuanxing / 问卷星 and CrewAI support listing groups?

Yes. You can give an agent the tool access to listgroups. The agent will then report all available survey groupings, allowing for targeted follow-up tasks.

Q: If I need a form list, how does Wenjuanxing / 问卷星 and CrewAI handle it?

The 'Researcher' agent uses listsurveys to generate the full roster. This output is immediately available for other agents to consume or filter.

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Connect Wenjuanxing / 问卷星 MCP to CrewAI

Create your Vinkius account to connect Wenjuanxing / 问卷星 to CrewAI 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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Setup Wenjuanxing / 问卷星 with CrewAI

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Researching Forms with MCP Server

Assign one agent the role of 'Researcher.' This agent can use `query_surveys` to find all relevant questionnaires based on a keyword. The result is then passed into shared memory. A second agent, the 'Coordinator,' reads that list and decides which forms need immediate review.

Analyzing Survey Responses with CrewAI

Set up an 'Analyst' agent whose job is to call `get_stats` or `list_responses`. This agent processes the raw data, summarizes key findings, and passes the analysis back. A final 'Reporter' agent takes that processed memory and generates a concise summary report.

Controlling Survey Visibility with Wenjuanxing / 问卷星

You can build an escalation process where one agent checks the current status using `get_survey`. If it's paused, another agent uses `update_survey_status` to publish it. This autonomous operation ensures that any form flagged as needing attention is automatically corrected without human input.

Setup guide

Set up Wenjuanxing / 问卷星 MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Wenjuanxing / 问卷星 tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Wenjuanxing / 问卷星 Analyst",
    goal="Access and analyze Wenjuanxing / 问卷星 data via MCP.",
    backstory="Expert analyst with direct Wenjuanxing / 问卷星 access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Wenjuanxing / 问卷星 transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

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

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Wenjuanxing / 问卷星 Analyst",
        goal="Access and analyze Wenjuanxing / 问卷星 data via MCP.",
        backstory="Expert analyst with direct Wenjuanxing / 问卷星 access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Wenjuanxing / 问卷星 transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

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.

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Common questions about Wenjuanxing / 问卷星 MCP in CrewAI

You assign the 'Analyst' agent the task of running `get_report`. The agent executes this tool call, retrieves the summary, and shares it with the rest of the crew for final review.

The server manages questionnaire details, survey statistics, list responses, and account metadata. The shared memory ensures all specialized agents work with the correct type of sensitive data.

Absolutely. The 'Coordinator' agent can use `list_surveys` to gather IDs, then delegate subsequent tasks (like checking status via `get_survey`) for each ID in sequence.

Yes. You can give an agent the tool access to `list_groups`. The agent will then report all available survey groupings, allowing for targeted follow-up tasks.

The 'Researcher' agent uses `list_surveys` to generate the full roster. This output is immediately available for other agents to consume or filter.

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