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.
Works with every AI agent you already use
…and any MCP-compatible client
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.
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.
Set up Appier MCP in OpenAI Agents SDK
Prerequisites
- Python 3.10+ installed
-
openai-agentspackage (pip install openai-agents) - Active Vinkius subscription with a valid endpoint token
- 1
Install the SDK
Run
pip install openai-agentsto install the OpenAI Agents SDK. The MCP integration is built-in — no extra dependencies needed. - 2
Connect via SSE transport
Use
MCPServerSsewith 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
Create your Agent
Pass the MCP to
Agent(mcp_servers=[server]). The agent receives Appier tools as native definitions — JSON schemas resolve automatically. - 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.
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
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Appier MCP today
We host it, we monitor it, we maintain it. You just paste one token.