Typebot MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 8 tools to Delete Typebot, Get Typebot Details, List Folders, and more
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Typebot through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
Ask AI about this App Connector for OpenAI Agents SDK
The Typebot app connector for OpenAI Agents SDK 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
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="Typebot Assistant",
instructions=(
"You help users interact with Typebot. "
"You have access to 8 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Typebot"
)
print(result.final_output)
asyncio.run(main())
* 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.
The OpenAI Agents SDK auto-discovers all 8 tools from Typebot through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Typebot, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
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 OpenAI Agents SDK 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 OpenAI Agents SDK
When OpenAI Agents SDK 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.
Permanently delete a typebot
Essential for reviewing the bot logic. Get details and structure for a specific typebot
Folders are used to group related typebots. List all folders in a workspace
Essential for data analysis and lead export. List collected user responses for a bot
Can be filtered by a specific workspace ID. List all conversational typebots
Workspaces contain folders and bots. List all accessible Typebot workspaces
Requires the unique bot ID. Publish and deploy the latest bot changes
Useful for testing bot flows or automated interactions. Programmatically start a new bot conversation
Connect Typebot to OpenAI Agents SDK via MCP
Follow these steps to wire Typebot into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Install the SDK
pip install openai-agents in your Python environmentReplace the token
[YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.comRun the script
python agent.pyExplore tools
Why Use OpenAI Agents SDK with the Typebot MCP Server
OpenAI Agents SDK provides unique advantages when paired with Typebot through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Typebot + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Typebot MCP Server delivers measurable value.
Automated workflows: build agents that query Typebot, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Typebot, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Typebot tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Typebot to resolve tickets, look up records, and update statuses without human intervention
Example Prompts for Typebot in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Typebot immediately.
"List all typebots in my current workspace."
"Show me the collected results for the 'Lead Gen Flow' bot."
"Publish the latest changes for bot 'bot_10293'."
Troubleshooting Typebot MCP Server with OpenAI Agents SDK
Common issues when connecting Typebot to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Typebot + OpenAI Agents SDK FAQ
Common questions about integrating Typebot MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.