How to Use the SurveySparrow MCP in CrewAI

Q: Can CrewAI and SurveySparrow validate survey data completeness?

Yes. You can use the 'Validator Agent' to call getsurveyquestions. This provides a checklist of required fields, allowing the crew to check if incoming submissions have all necessary inputs.

Q: What is the best way to list surveys for SurveySparrow with CrewAI?

The 'Discovery Agent' should use listsurveys first. This establishes the scope of work, allowing subsequent agents to narrow down their focus and avoid processing irrelevant survey IDs.

Q: If I need to track contact changes in SurveySparrow with CrewAI?

You can build a multi-step process: Agent A uses listcontactfolders to see the current structure, and then Agent B uses getcontactinfo to validate if the specific data points have changed since the last check.

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Create your Vinkius account to connect SurveySparrow to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup SurveySparrow with CrewAI

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Segmenting Audience Contacts

Assign a 'Research Agent' to handle contact lists. This agent uses `list_crm_contacts` to pull the full audience segmentation data. A second 'Analysis Agent' then takes this list and processes it, perhaps filtering out inactive users using criteria provided by `get_contact_info`. This collaborative approach mimics how human teams work: one agent gathers raw data while another specializes in cleaning and grouping that data for optimal targeting.

Coordinated Survey Deployment

You can assign a 'Product Agent' to manage the survey lifecycle. This agent first calls `list_surveys` to get all available options, then passes those IDs to another 'Execution Agent'. The second agent uses `get_survey_details` to understand exactly what each SurveySparrow deployment entails. This role-based specialization ensures that every piece of information—from the list of surveys to their specific fields—is handled by the right specialized crew member.

Analyzing Full Submission Sets

The 'Data Agent' handles all the responses. It starts by calling `list_survey_responses` to get a massive dataset of submissions. Another agent, the 'Reporting Agent,' then takes that raw data and processes it into actionable summaries. This separation of roles prevents resource exhaustion and makes the entire autonomous operation much more reliable than running one single script.

Setup guide

Set up SurveySparrow 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 SurveySparrow tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent SurveySparrow 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="SurveySparrow Analyst",
        goal="Access and analyze SurveySparrow data via MCP.",
        backstory="Expert analyst with direct SurveySparrow access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent SurveySparrow 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 SurveySparrow. 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 SurveySparrow MCP in CrewAI

The server touches contact records. You should assign a dedicated 'Compliance Agent' role to handle PII (Personally Identifiable Information) retrieved via `get_contact_info`, ensuring that it’s masked or tokenized before any other agent sees it.

Yes. You can use the 'Validator Agent' to call `get_survey_questions`. This provides a checklist of required fields, allowing the crew to check if incoming submissions have all necessary inputs.

The 'Discovery Agent' should use `list_surveys` first. This establishes the scope of work, allowing subsequent agents to narrow down their focus and avoid processing irrelevant survey IDs.

You can build a multi-step process: Agent A uses `list_contact_folders` to see the current structure, and then Agent B uses `get_contact_info` to validate if the specific data points have changed since the last check.

Yes. You can assign a 'Cleanup Agent' role, whose sole job is to call `remove_contact` and ensure that old or redundant contact records are systematically deleted from the system.

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