How to Use the Aptabase (Mobile Analytics) MCP in OpenAI Agents SDK

Push app telemetry into your OpenAI Agents SDK pipeline without leaving your Python code.

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Connect Aptabase (Mobile Analytics) MCP to OpenAI Agents SDK

Create your Vinkius account to connect Aptabase (Mobile Analytics) 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 Aptabase (Mobile Analytics) with OpenAI Agents SDK

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Telemetry tracking for OpenAI Agents SDK

Your agent fires off events to Aptabase (Mobile Analytics) during execution. You get real-time visibility into what your agent is actually doing in production. Use the `send_event` tool to log specific user actions. The server handles the queue asynchronously so your agent doesn't hang while waiting for a network response.

Validate your agent's event output

The OpenAI Agents SDK guards execution paths by checking every tool call against defined constraints. You ensure that only valid event data reaches your dashboard. This MCP Server provides the `send_event` interface that fits directly into your agent's toolset. It keeps your tracing clean and your events structured.

Track agent performance in real-time

Monitoring your production agent requires accurate telemetry. You can now pipe events directly from your agent logic to Aptabase (Mobile Analytics). Calling `send_event` gives you a direct line to your metrics. It works inside your existing Python workflow without needing custom logging infrastructure.

Setup guide

Set up Aptabase (Mobile Analytics) 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 Aptabase (Mobile Analytics) tools at runtime.
3

Create your Agent

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

Run the agent

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

Install the necessary packages and point your agent to the server URL. Pass the toolset into the constructor to give your agent access to event tracking.

Yes. The server manages the event queue so the agent continues its work immediately after firing the event.

It is designed for exactly that purpose. Every event is processed as soon as your agent triggers it.

No. You just define the server connection and the agent discovers the tools automatically.

Your event data consists of custom telemetry and usage metrics. The server transmits this over encrypted connections to your specific project dashboard.

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