Can my AI agent create new predictive models in Appier?

No. The MCP server is designed natively for reading data, fetching performance stats, analyzing segments, and understanding configurations. Creating complex models still requires the Appier Enterprise Console to ensure ML model safety.

How fast can I generate a campaign ROI report before a meeting?

In a few seconds. Tell your agent 'Fetch analytics for my top 3 active campaigns' and the AI will invoke the analytics endpoint, process the CPC, CTR, and ROAS data, and output a clean executive summary in whatever format you ask.

Can the agent tell me how big a specific prediction segment is?

Yes. If an audience ID or segment ID is known, the agent uses the 'get_audience' tool to fetch size estimations, AI criteria, and generation metrics—informing you immediately if your targeted audience size is large enough to launch.

Appier MCP Server for OpenAI Agents SDK 8 tools — connect in under 2 minutes

Name: Appier
Availability: InStock
Author: Vinkius

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 8 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Appier through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

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="Appier Assistant",
            instructions=(
                "You help users interact with Appier. "
                "You have access to 8 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Appier"
        )
        print(result.final_output)

asyncio.run(main())

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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 Appier MCP Server

Connect your Appier environment to any AI agent and bring the power of AI-driven marketing campaigns directly into your chat interface. Skip the complex dashboards and interact with your predictive segments, marketing performance, and conversion tracking using natural language.

The OpenAI Agents SDK auto-discovers all 8 tools from Appier through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Appier, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Campaign Management — List all active CrossX or AIQUA campaigns and drill down into specific campaign configurations instantly
Audience & Segments — Retrieve AI-generated audiences, view segment sizes, and understand criteria predicting user behavior
Predictive Models — List actively running ML predictions like Churn and Purchase probability models
Conversion Tracking — View historical tracked conversion events like signups or purchases
Performance Analytics — Fetch full analytics (CTR, CPC, ROAS, and Conversions) for any given campaign

The Appier 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.

How to Connect Appier to OpenAI Agents SDK via MCP

Follow these steps to integrate the Appier MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 8 tools from Appier

Why Use OpenAI Agents SDK with the Appier MCP Server

OpenAI Agents SDK provides unique advantages when paired with Appier 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

Appier + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Appier MCP Server delivers measurable value.

Automated workflows: build agents that query Appier, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries Appier, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through Appier tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query Appier to resolve tickets, look up records, and update statuses without human intervention

Appier MCP Tools for OpenAI Agents SDK (8)

These 8 tools become available when you connect Appier to OpenAI Agents SDK via MCP:

get_audience

Get details for a specific audience

get_campaign

Get specific marketing campaign details

get_campaign_analytics

Get analytics and performance metrics for a campaign

list_audiences

List all target audiences

list_campaigns

List all AI marketing campaigns in Appier

list_conversions

List tracked conversion events

list_predictions

List available AI prediction models

list_segments

List configured user segments

Example Prompts for Appier in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Appier immediately.

"List all active marketing campaigns we have on Appier."

"What is our current ROAS and CPC for campaign cmp_q3rtg?"

"What predictive models do we have running right now?"

Troubleshooting Appier MCP Server with OpenAI Agents SDK

Common issues when connecting Appier to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Appier + OpenAI Agents SDK FAQ

Common questions about integrating Appier MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.