How to Use the Appcues MCP in OpenAI Agents SDK

Q: Can the OpenAI Agents SDK publish Appcues flows?

Yes, your agent can execute the publishflow tool directly. You should configure OpenAI safety guardrails to require human approval before the agent pushes any draft flows to production.

Connect Appcues to the OpenAI Agents SDK to build production-grade onboarding agents with built-in guardrails and full execution tracing.

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Connect Appcues MCP to OpenAI Agents SDK

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

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Control Onboarding via OpenAI Agents SDK

Your agent can pull live user data and onboarding states directly using `get_user` and `get_flow`. When a customer hits a snag in your application, the model checks their current segment with `get_segment` before deciding which guide to show next. Built-in OpenAI guardrails prevent rogue modifications to your production environment. Before the agent triggers `publish_flow` or `unpublish_flow`, the framework validates the action against your safety constraints to ensure only approved onboarding paths go live.

Manage User Segments Automatically

Pulling active user lists requires just a quick call to `list_segments` and `list_flows` through your MCP Server connection. You can set up specialized agents to monitor specific customer cohorts and adjust their onboarding experience based on raw application usage. Handoffs between agents occur natively when dealing with complex user states. A support agent might identify a stuck customer, then pass the session to an onboarding specialist agent that assigns a new checklist using `list_checklists` to get them moving again.

Execute Irreversible Actions Safely

Deleting customer data requires strict oversight, which is why `delete_user` runs through the OpenAI tracing dashboard. Every time your agent wipes a profile from Appcues, you get a complete audit trail showing exactly why the model made that specific decision. Checking system health happens automatically in the background. The agent pings `check_appcues_status` before attempting any destructive operations, failing gracefully if the API is down instead of hanging your entire production pipeline.

Setup guide

Set up Appcues 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 Appcues tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the openai-agents package via pip. Initialize MCPServerStreamableHttp with your Vinkius URL and pass it to the Agent constructor using the mcp_servers parameter. Tools auto-discover immediately.

Yes, your agent can execute the publish_flow tool directly. You should configure OpenAI safety guardrails to require human approval before the agent pushes any draft flows to production.

Vinkius manages the underlying authentication for your MCP connection. You only need to maintain your single endpoint token in the SDK configuration, completely avoiding manual API key rotation.

Set cacheToolsList=True when configuring your server parameters. This stops the agent from refetching the Appcues schema on every single invocation, dropping your latency significantly.

User profiles, segment details, and onboarding states run through a V8 isolate sandbox on Vinkius. The execution environment is entirely ephemeral, meaning your sensitive customer records vanish from memory the second the transaction finishes.

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