How to Use the Typeform MCP in CrewAI

Q: How can CrewAI access details for Typeform forms?

You pass the form ID to getformdetails. This gives your AI crew all the necessary metadata—the questions and structure—to perform its specialized analysis.

Q: Can I monitor submissions with Typeform using CrewAI?

Yes. The listresponses tool pulls collected data, letting a dedicated agent analyze it for patterns or required follow-up actions immediately after submission.

Q: Do I need to list all forms before running a task with Typeform and CrewAI?

It's smart practice. Use listforms first. This gives your crew a complete manifest of available resources, ensuring no form is overlooked during the autonomous operation.

Q: How do I keep track of all my Typeform workspaces with CrewAI?

Just call listworkspaces. It provides a clean overview of your entire account's structure. This helps the moderator agent scope its actions efficiently.

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Connect Typeform MCP to CrewAI

Create your Vinkius account to connect Typeform 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 Typeform with CrewAI

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Analyze Form Structure for CrewAI

The `get_form_details` tool provides the full context of a form's questions. This allows your research agent to understand exactly what information is being collected. The analysis crew can then process this structure to generate necessary follow-up actions or reports.

Gather Form Submissions with CrewAI

Need the answers? Use `list_responses` to gather submitted data. You can filter these results by date range and check if the submission was completed. The crew uses this data as shared memory, allowing different specialized agents to analyze it independently.

Organize Forms with CrewAI MCP Server

The `list_workspaces` tool shows all organizational groups of forms. This helps the monitor agent know where to focus its efforts. By listing these workspaces, you ensure that autonomous operations don't get lost in a massive collection of unrelated forms.

Setup guide

Set up Typeform 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 Typeform tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Typeform 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 →

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="Typeform Analyst",
        goal="Access and analyze Typeform data via MCP.",
        backstory="Expert analyst with direct Typeform access.",
        tools=mcp_tools,
    )

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

You pass the form ID to `get_form_details`. This gives your AI crew all the necessary metadata—the questions and structure—to perform its specialized analysis.

Yes. The `list_responses` tool pulls collected data, letting a dedicated agent analyze it for patterns or required follow-up actions immediately after submission.

The server touches submitted response data. Your crew can process this type of raw, collected user input to generate insights without needing continuous human intervention.

It's smart practice. Use `list_forms` first. This gives your crew a complete manifest of available resources, ensuring no form is overlooked during the autonomous operation.

Just call `list_workspaces`. It provides a clean overview of your entire account's structure. This helps the moderator agent scope its actions efficiently.

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