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Typebot MCP Server for CrewAIGive CrewAI instant access to 8 tools to Delete Typebot, Get Typebot Details, List Folders, and more

Built by Vinkius GDPR 8 Tools Framework

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

Use with Your AI Agent

Ask AI about this App Connector for CrewAI

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The Typebot app connector for CrewAI is a standout in the Productivity 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="Typebot Specialist",
    goal="Help users interact with Typebot effectively",
    backstory=(
        "You are an expert at leveraging Typebot 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 Typebot "
        "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)
Typebot
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* 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 Typebot MCP Server

Connect your Typebot account to any AI agent and simplify how you build, manage, and analyze your conversational assistants through natural conversation.

When paired with CrewAI, Typebot becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Typebot 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

  • Bot Management — List all typebots across your workspaces and folders, and retrieve detailed metadata and flow structures.
  • Deployment Control — Publish the latest bot changes to production instantly without leaving your agent.
  • Result Analysis — List and export user submissions and conversation results to track leads and performance.
  • Organization Oversight — Manage workspaces and folders to keep your conversational projects structured.
  • Session Testing — Programmatically start new chat sessions to verify bot logic and user experiences.

The Typebot 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 Typebot tools available for CrewAI

When CrewAI connects to Typebot through Vinkius, your AI agent gets direct access to every tool listed below — spanning chatbot-builder, conversational-forms, automation, 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.

delete_typebot

Permanently delete a typebot

get_typebot_details

Essential for reviewing the bot logic. Get details and structure for a specific typebot

list_folders

Folders are used to group related typebots. List all folders in a workspace

list_typebot_results

Essential for data analysis and lead export. List collected user responses for a bot

list_typebots

Can be filtered by a specific workspace ID. List all conversational typebots

list_workspaces

Workspaces contain folders and bots. List all accessible Typebot workspaces

publish_typebot

Requires the unique bot ID. Publish and deploy the latest bot changes

start_chat_session

Useful for testing bot flows or automated interactions. Programmatically start a new bot conversation

Connect Typebot to CrewAI via MCP

Follow these steps to wire Typebot 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 Typebot

Why Use CrewAI with the Typebot MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Typebot 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

Typebot + CrewAI Use Cases

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

01

Automated multi-step research: a reconnaissance agent queries Typebot 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 Typebot, analyzes trends over time, and generates executive briefings in markdown or PDF format

03

Multi-source enrichment pipelines: chain Typebot 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 Typebot against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Example Prompts for Typebot in CrewAI

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

01

"List all typebots in my current workspace."

02

"Show me the collected results for the 'Lead Gen Flow' bot."

03

"Publish the latest changes for bot 'bot_10293'."

Troubleshooting Typebot MCP Server with CrewAI

Common issues when connecting Typebot 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.

Typebot + CrewAI FAQ

Common questions about integrating Typebot 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.