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Umeng / 友盟+ MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

Built by Vinkius GDPR 10 Tools SDK

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

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="Umeng / 友盟+ Assistant",
            instructions=(
                "You help users interact with Umeng / 友盟+. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Umeng / 友盟+"
        )
        print(result.final_output)

asyncio.run(main())
Umeng / 友盟+
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* 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 Umeng / 友盟+ MCP Server

Empower your AI agent to orchestrate your mobile growth and engagement with Umeng+ (友盟+), the premier mobile infrastructure provider in China. By connecting Umeng to your agent, you transform complex push notification campaigns and deep analytical auditing into a natural conversation. Your agent can instantly send targeted push messages, retrieve real-time delivery status, monitor user retention trends, and even provide high-level application performance summaries without you ever needing to navigate the comprehensive Umeng portal. Whether you are conducting a growth audit or coordinating a cross-functional marketing blast, your agent acts as a real-time mobile operations assistant, keeping your data accurate and your users engaged.

The OpenAI Agents SDK auto-discovers all 10 tools from Umeng / 友盟+ through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns — chain multiple agents where one queries Umeng / 友盟+, another analyzes results, and a third generates reports, all orchestrated through the Vinkius.

What you can do

  • Push Orchestration — Send template-based or custom push notifications and retrieve real-time delivery and click status.
  • User Growth Auditing — Retrieve detailed metrics for active users, new registrations, and retention across any time period.
  • Behavioral Analysis — Browse custom event data and session duration statistics to identify user engagement patterns.
  • Task Management — List recent push tasks and cancel pending operations directly through the agent interface.
  • Performance Insights — Access high-level application summaries to monitor the health and growth of your mobile ecosystem.

The Umeng / 友盟+ MCP Server exposes 10 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 Umeng / 友盟+ to OpenAI Agents SDK via MCP

Follow these steps to integrate the Umeng / 友盟+ MCP Server with OpenAI Agents SDK.

01

Install the SDK

Run pip install openai-agents in your Python environment

02

Replace the token

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

03

Run the script

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

04

Explore tools

The agent will automatically discover 10 tools from Umeng / 友盟+

Why Use OpenAI Agents SDK with the Umeng / 友盟+ MCP Server

OpenAI Agents SDK provides unique advantages when paired with Umeng / 友盟+ through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse` — pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Umeng / 友盟+ + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Umeng / 友盟+ MCP Server delivers measurable value.

01

Automated workflows: build agents that query Umeng / 友盟+, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents — one queries Umeng / 友盟+, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Umeng / 友盟+ tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Umeng / 友盟+ to resolve tickets, look up records, and update statuses without human intervention

Umeng / 友盟+ MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect Umeng / 友盟+ to OpenAI Agents SDK via MCP:

01

cancel_push

Cancel pending push task

02

get_active_users

Get active user count

03

get_app_summary

Get app analytics summary

04

get_duration_stats

Get session duration stats

05

get_event_data

Get custom event data

06

get_new_users

Get new user registrations

07

get_push_status

Check push task status

08

get_retention

Get user retention stats

09

list_push_tasks

List recent push tasks

10

send_push

Send push notification

Example Prompts for Umeng / 友盟+ in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Umeng / 友盟+ immediately.

01

"Send a broadcast push saying 'Flash Sale starts now!' to all users."

02

"Show me the active user metrics for today."

03

"What is the retention rate for users who joined last Monday?"

Troubleshooting Umeng / 友盟+ MCP Server with OpenAI Agents SDK

Common issues when connecting Umeng / 友盟+ to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

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

Umeng / 友盟+ + OpenAI Agents SDK FAQ

Common questions about integrating Umeng / 友盟+ MCP Server with OpenAI Agents SDK.

01

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.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with the Vinkius.

Connect Umeng / 友盟+ to OpenAI Agents SDK

Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.