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How to Use the Appier MCP in OpenAI Agents SDK

Push Appier campaign data directly into your OpenAI Agents SDK production pipelines with validated execution.

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OpenAI Agents SDK

Connect Appier MCP to OpenAI Agents SDK

Create your Vinkius account to connect Appier 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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Campaign management in OpenAI Agents SDK

Your agent pulls live campaign metrics using `get_campaign` and `get_campaign_analytics`. It identifies which ads are dragging and which are winning. Code your safety logic around these calls. The SDK traps the response, ensuring your agent only tweaks budgets based on verified performance numbers.

Audience targeting for OpenAI Agents SDK

Run `list_audiences` and `get_audience` to bring user segment data into your agent's context window. You'll see exactly who you're targeting without leaving the terminal. This MCP server gives your agent the raw data it needs to build better cohorts. It stops the guesswork by feeding real-time segment definitions straight to your Python models.

Conversion tracking for OpenAI Agents SDK

Call `list_conversions` to feed event logs into your agent's decision loop. It tracks how many users actually hit your goals. Your agent uses this data to map out user journeys. It knows if a campaign is paying off because it's reading the conversion stream directly from Appier.

Setup guide

Set up Appier 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. 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. 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 Appier tools at runtime.

  3. 3

    Create your Agent

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

  4. 4

    Run the agent

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

asyncio.run(main())

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Appier. 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.

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

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

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 Appier MCP in OpenAI Agents SDK

You initialize the connection using the MCPServerStreamableHttp class. Just pass your Vinkius endpoint URL and the agent handles the rest. Your tools appear automatically in the agent's available functions.
Yes. Your agent reads the output of `list_predictions` and decides what to change. It's a closed loop where the AI acts on real marketing intelligence.
Custom scrapers break when the API changes. This MCP server handles the protocol, keeping your agent's connection stable and your code clean.
Enable cacheToolsList for better throughput. It keeps your agent moving fast without redundant API calls to the server.
Your marketing records stay behind the Vinkius auth wall. The agent only gets the specific campaign and audience data you authorize through your endpoint token.

Start using the Appier MCP today

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Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Appier. Just plug in your AI agents and start using Vinkius.

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All 8 tools are live and waiting. You're up and running in seconds.

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