How to Use the PushEngage MCP in OpenAI Agents SDK

Q: What happens if the PushEngage API is down?

Use checkpushengagestatus to verify uptime before attempting any broadcast. It returns the current health of the service.

Automate your PushEngage campaigns directly within OpenAI Agents SDK. Drive traffic and recover carts without leaving your Python code.

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Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect PushEngage MCP to OpenAI Agents SDK

Create your Vinkius account to connect PushEngage to OpenAI Agents SDK — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup PushEngage with OpenAI Agents SDK

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Trigger broadcasts with OpenAI Agents SDK

Send targeted messages to your audience by invoking `send_pushengage_broadcast`. Your agent handles the payload and confirms delivery through the API. Stop switching tabs to manage your outreach. Your agent executes these sends as part of your existing production logic.

Analyze subscriber data in OpenAI Agents SDK

Query your audience reach using `list_pushengage_subscribers` to feed data back into your decision-making loop. You get a clear view of your active reach. This MCP Server provides the raw data your agent needs to segment users effectively. It handles the API handshake so you focus on the logic.

Manage automation with OpenAI Agents SDK

Inspect your active workflows using `list_pushengage_triggers`. Your agent can now identify which automation paths are currently running on your sites. Seeing these triggers allows your agent to adjust strategy based on current site behavior. You keep the pulse of your engagement right in the code.

Setup guide

Set up PushEngage 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 PushEngage tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate PushEngage 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="PushEngage Agent",
            instructions="You have access to PushEngage tools.",
            mcp_servers=[server],
        )
        result = await Runner.run(agent, "List recent transactions")
        print(result.final_output)

asyncio.run(main())

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by PushEngage. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect PushEngage now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

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Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about PushEngage MCP in OpenAI Agents SDK

Use the MCPServerStreamableHttp class to point your agent at the Vinkius endpoint. Register it in your agent constructor, and the tools become available immediately.

Yes. You can implement custom guardrails in your agent to inspect the arguments before the tool runs. This prevents accidental blasts.

We use scoped tokens for every connection. Your data travels over encrypted channels, and your credentials never leave the Vinkius sandbox.

Use `check_pushengage_status` to verify uptime before attempting any broadcast. It returns the current health of the service.

The server only exposes non-sensitive subscriber metadata required for segmentation. We strip PII before it hits your agent environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.