How to Use the Umeng / 友盟+ MCP in OpenAI Agents SDK

Q: Can I list past campaigns using Umeng / 友盟+ and OpenAI Agents SDK?

Yep. You can run listpushtasks to see a history of all recent push tasks. This makes auditing your marketing efforts simple for the agent.

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Connect Umeng / 友盟+ MCP to OpenAI Agents SDK

Create your Vinkius account to connect Umeng / 友盟+ 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 Umeng / 友盟+ with OpenAI Agents SDK

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Send targeted push notifications.

You can tell the agent to run a campaign by invoking `send_push`. It handles sending the notification across Umeng / 友盟+. The system also lets you check if those pushes are scheduled using `get_push_status` or get a list of recent jobs with `list_push_tasks`. This keeps your production agent system in sync.

Measure user growth and activity.

Need to know how many people were active? Use the tool `get_active_users` for a real-time count. Furthermore, you can track new signups instantly with `get_new_users`. This data helps your agents decide when to fire up the next campaign.

Analyze session and event performance.

The agent accesses deep analytics using tools like `get_duration_stats` for average time spent. You can also pull specific user actions via `get_event_data`. This gives your production pipeline the granular detail it needs to optimize marketing outreach.

Setup guide

Set up Umeng / 友盟+ 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 Umeng / 友盟+ tools at runtime.
3

Create your Agent

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

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Umeng / 友盟+ 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="Umeng / 友盟+ Agent",
            instructions="You have access to Umeng / 友盟+ 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 Umeng / 友盟+ MCP in OpenAI Agents SDK

Your agent auto-discovers all Umeng / 友盟+ tools without any setup code. Because it's built for production agents, the system uses guardrails to validate every action before running it.

Yep. You can run `list_push_tasks` to see a history of all recent push tasks. This makes auditing your marketing efforts simple for the agent.

The server provides user analytics data, including active counts (`get_active_users`) and retention metrics (`get_retention`). This is all structured so your agent can use it immediately.

It's designed for production, meaning the agent handoffs between specialized tools are robust. You get full tracing through the OpenAI dashboard to see exactly what happened.

The server handles user analytics data, including custom event data from `get_event_data`. This ensures that the agent only processes the necessary details for campaign execution.

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