How to Use the Typebot MCP in OpenAI Agents SDK

Q: How do I check for existing Typebot workspaces with OpenAI Agents SDK?

You call the listworkspaces tool. It returns all accessible Typebot environments, letting your agent know where to look first.

Q: Can the OpenAI Agents SDK list all my deployed Typebot bots?

Yes. The listtypebots function lets you pull a full inventory of your conversational typebots, and you can narrow that down using a workspace ID filter.

Q: What is the best way to test a new Typebot flow with OpenAI Agents SDK?

Start a conversation programmatically using startchatsession. This lets your agent test the bot's logic or simulate an automated interaction without manual input.

Q: Does Typebot support bulk deletion via OpenAPI Agents SDK?

You use the deletetypebot function. It permanently deletes a single typebot, so you need to call it for every bot you want gone.

Typebot: Build and deploy conversational flows with the OpenAI Agents SDK.

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Connect Typebot MCP to OpenAI Agents SDK

Create your Vinkius account to connect Typebot to OpenAI Agents SDK 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 Typebot with OpenAI Agents SDK

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Manage Bot Lifecycle

Need to clean up old bots? Use `delete_typebot` to permanently remove a bot instance. You can also use `list_typebots`, filtering by workspace ID, to see every conversational flow you've built.

Analyze User Interactions

Want to analyze what users actually said? The `list_typebot_results` tool gathers all collected user responses for a specific bot. This gives your agent the raw data it needs for analysis or exporting leads.

Inspect Bot Structure

Before you run anything, check the logic. `get_typebot_details` is key here; it lets you review the entire bot structure and flow. You can also use `list_folders` to map out how your typebots are grouped within a workspace.

Setup guide

Set up Typebot MCP in OpenAI Agents SDK

Prerequisites

Python 3.10+ installed
openai-agents package (pip install openai-agents)
Active Vinkius subscription with a valid endpoint token

1

Install the SDK

Run pip install openai-agents to install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed.
2

Connect via SSE transport

Use MCPServerSse with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. The SDK auto-discovers all Typebot tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Typebot tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Typebot tools and returns structured results. Copy the full example on the right to get started.

agent.py

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerSse

async def main():
    async with MCPServerSse(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as server:
        agent = Agent(
            name="Typebot Agent",
            instructions="You have access to Typebot tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

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Common questions about Typebot MCP in OpenAI Agents SDK

You call the `list_workspaces` tool. It returns all accessible Typebot environments, letting your agent know where to look first.

Yes. The `list_typebots` function lets you pull a full inventory of your conversational typebots, and you can narrow that down using a workspace ID filter.

Start a conversation programmatically using `start_chat_session`. This lets your agent test the bot's logic or simulate an automated interaction without manual input.

You use the `delete_typebot` function. It permanently deletes a single typebot, so you need to call it for every bot you want gone.

This MCP Server handles user responses and conversational flow metadata. Specifically, `list_typebot_results` accesses collected user input for analysis.

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