How to Use the Typeform MCP in CrewAI

Q: How do I get all my forms listed for CrewAI?

Use the listforms tool. This gives your multi-agent crew a complete manifest of every form ID and name in your Typeform account, which they can reference immediately.

Q: What data type does this MCP Server touch for CrewAI?

The server touches submission/response data. The getformresponses tool retrieves the raw submissions tied to a specific form ID, allowing agents to analyze user input.

Q: Can I check a form’s structure using Typeform and CrewAI?

Yes, use the getformdetails tool. This lets your agent see the underlying metadata—the blueprint of the form—so it knows exactly what data fields to expect.

Q: Does Typeform support listing workspaces with CrewAI?

The listworkspaces tool handles this. It gives your autonomous crew visibility into all organizational boundaries, helping them scope their operations correctly.

Q: If I need analytics on a form using Typeform and CrewAI, what do I use?

Use getforminsights. This tool retrieves the completion rates and overall performance metrics for a given form ID, giving your agents actionable intelligence.

Automate Typeform operations using CrewAI's multi-agent collaboration framework.

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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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Collecting and analyzing form responses with MCP Server

`get_form_responses` lets your agents retrieve submissions for a specific form ID. A research agent can fetch this data, and an analysis agent can immediately process it without human intervention. The `get_form_insights` tool supplements this by providing analytics—it tells the monitoring agent about performance metrics alongside the raw data.

Mapping Typeform assets with CrewAI

`list_forms` gives your crew a directory of all forms, while `list_workspaces` maps out where they live. This allows specialized agents to route tasks accurately across the entire account structure. Need to check what's available visually? The `list_form_themes` tool provides this list for any agent needing theme context.

Deep inspection of Typeform metadata with CrewAI

`get_form_details` pulls the full structure and metadata when an agent needs to inspect a form. This is critical because it tells the acting agent exactly how the form is built. Agents can use `list_forms` first, then pass the ID into `get_form_details`, creating a reliable two-step data gathering process.

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

Use the `list_forms` tool. This gives your multi-agent crew a complete manifest of every form ID and name in your Typeform account, which they can reference immediately.

The server touches submission/response data. The `get_form_responses` tool retrieves the raw submissions tied to a specific form ID, allowing agents to analyze user input.

Yes, use the `get_form_details` tool. This lets your agent see the underlying metadata—the blueprint of the form—so it knows exactly what data fields to expect.

The `list_workspaces` tool handles this. It gives your autonomous crew visibility into all organizational boundaries, helping them scope their operations correctly.

Use `get_form_insights`. This tool retrieves the completion rates and overall performance metrics for a given form ID, giving your agents actionable intelligence.

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