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Typeform MCP Server for CrewAIGive CrewAI instant access to 8 tools to Create Webhook, Get Form Details, Get Workspace Details, and more

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Typeform through Vinkius, pass the Edge URL in the `mcps` parameter and every Typeform tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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The Typeform app connector for CrewAI is a standout in the Industry Titans category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
from crewai import Agent, Task, Crew

agent = Agent(
    role="Typeform Specialist",
    goal="Help users interact with Typeform effectively",
    backstory=(
        "You are an expert at leveraging Typeform tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Typeform "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)
Typeform
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Typeform MCP Server

Connect your Typeform account to any AI agent and simplify how you collect data, manage surveys, and analyze user responses through natural conversation.

When paired with CrewAI, Typeform becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Typeform tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

  • Form Management — List all forms across your account and retrieve detailed field structures and logic.
  • Response Analysis — List and export individual submissions with filtering by date and completion status.
  • Workspace Oversight — Manage workspaces to keep your forms and surveys organized by project or team.
  • Real-time Monitoring — Create and manage webhooks to receive instant notifications for new form submissions.
  • Design Control — List available themes to ensure consistent branding across your surveys.
  • Integration Maintenance — Verify account configurations and regional settings directly from the agent.

The Typeform MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Typeform tools available for CrewAI

When CrewAI connects to Typeform through Vinkius, your AI agent gets direct access to every tool listed below — spanning data-collection, user-feedback, lead-generation, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

create_webhook

Requires a unique tag and a destination URL. Create or update a form webhook

get_form_details

Essential for understanding the questions asked in a form. Get details and structure for a specific form

get_workspace_details

Get details and forms for a workspace

list_design_themes

List all available design themes

list_forms

Useful for obtaining form IDs for response retrieval. List all Typeforms in the account

list_responses

Supports filtering by date (since) and completion status. List all collected responses for a form

list_webhooks

Webhooks are used to receive real-time alerts when a form is submitted. List all webhooks for a specific form

list_workspaces

Workspaces are used to organize collections of forms. List all Typeform workspaces

Connect Typeform to CrewAI via MCP

Follow these steps to wire Typeform into CrewAI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install CrewAI

Run pip install crewai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Customize the agent

Adjust the role, goal, and backstory to fit your use case
04

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Typeform

Why Use CrewAI with the Typeform MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Typeform through the Model Context Protocol.

01

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

02

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

03

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

04

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Typeform + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Typeform MCP Server delivers measurable value.

01

Automated multi-step research: a reconnaissance agent queries Typeform for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

02

Scheduled intelligence reports: set up a crew that periodically queries Typeform, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Typeform tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

04

Compliance and audit automation: a compliance agent queries Typeform against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Typeform in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Typeform immediately.

01

"List all active forms in my Typeform account."

02

"Show me the last 5 responses for the 'Customer Satisfaction' form."

03

"List all forms in the 'Marketing Campaign' workspace (ID: 10293)."

Troubleshooting Typeform MCP Server with CrewAI

Common issues when connecting Typeform to CrewAI through the Vinkius, and how to resolve them.

01

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.
02

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".
03

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.
04

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Typeform + CrewAI FAQ

Common questions about integrating Typeform MCP Server with CrewAI.

01

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.
02

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.
03

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.
04

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.
05

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.