How to Use the Flow XO MCP in OpenAI Agents SDK

Q: Can my OpenAI Agents SDK agent use Flow XO to pause a failing automation?

Yes, your agent can use toggleworkflow to shut down any flow that is misbehaving. This is useful for stopping broken loops before they spam your users.

Q: How does the Flow XO integration with OpenAI Agents SDK handle user segmentation?

The agent uses listchatbotusers to fetch the list of active users. From there, it can segment them and send targeted updates using sendpushmessage.

Q: Can I run multiple bot platforms under one agent?

Yes. Your agent calls listbotaccounts to see all connected platforms. It can then route messages and manage users across different channels.

Control Flow XO chatbot interactions and trigger automated workflows directly from your OpenAI Agents SDK pipeline using this MCP Server.

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Connect Flow XO MCP to OpenAI Agents SDK

Create your Vinkius account to connect Flow XO 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 Flow XO with OpenAI Agents SDK

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Toggle workflows and route webhooks instantly

The `toggle_workflow` tool gives your agent direct control over which automation paths are active in your system. Instead of manual toggles, your agent monitors live data and turns flows on or off based on user behavior. If you need to fire off a workflow immediately, the agent can call `trigger_webhook` to execute a specific sequence. This lets you connect external events to your chat flows without writing custom polling code.

Inspect user history and update metadata

The `list_user_history` tool lets your agent read past messages to understand the context of a customer's issue. By looking at what was said earlier, your agent makes better decisions on how to handle the current conversation. Once the agent understands the user's intent, it uses `update_user` to change their metadata or tags. You can also run `get_user_details` to pull their full profile and keep your CRM updated.

Monitor chatbot performance with this MCP Server

The `get_automation_analytics` tool provides your agent with a quick summary of how your bots are performing. This MCP Server tool checks these stats to find bottlenecks or see which workflows are getting the most traffic. Combine this with `list_bot_accounts` to keep tabs on all your active platforms. It gives your team a clear view of where your users are interacting without leaving the console.

Setup guide

Set up Flow XO 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 Flow XO tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Flow XO 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="Flow XO Agent",
            instructions="You have access to Flow XO 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 Flow XO MCP in OpenAI Agents SDK

Install the package via pip and set up the streamable HTTP server parameters. Pass the server instance directly into your Agent constructor using the async context manager. This registers the MCP Server tools.

Yes, your agent can use `toggle_workflow` to shut down any flow that is misbehaving. This is useful for stopping broken loops before they spam your users.

The agent uses `list_chatbot_users` to fetch the list of active users. From there, it can segment them and send targeted updates using `send_push_message`.

Yes. Your agent calls `list_bot_accounts` to see all connected platforms. It can then route messages and manage users across different channels.

We process your chat histories, user profiles, and workflow settings inside a secure V8 sandbox. None of your customer message data is stored on our servers; it passes directly between your agent and the endpoint.

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