How to Use the Huawei Push Kit / 华为推送服务 MCP in OpenAI Agents SDK

Q: How does the OpenAI Agents SDK connect to the Huawei Push Kit / 华为推送服务 MCP Server?

You instantiate the MCPServerStreamableHttp client with the server URL and pass it to your Agent's constructor. The tools are discovered automatically, so your agent can start using them right away without any mapping.

Send notifications to Huawei devices directly from your OpenAI Agents SDK, with full tracing and execution guardrails built-in.

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Connect Huawei Push Kit / 华为推送服务 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Huawei Push Kit / 华为推送服务 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 Huawei Push Kit / 华为推送服务 with OpenAI Agents SDK

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Target Devices & Topics Directly

Use `push_to_token` to send a notification straight to a single HMS device. Your agent can get the token from a database, then construct and send the alert. It's the right tool for transactional messages like one-time passcodes or order updates. For broader messages, your agent can use `push_to_topic`. The OpenAI Agents SDK's built-in tracing lets you see exactly which agent decided to send the message and why. This gives you a clean audit trail for every notification sent through this MCP server.

Manage Subscriptions with Your Agent

This MCP server gives your agent tools to manage user preferences. Let your agent handle topic subscriptions automatically with `subscribe_to_topic` and `unsubscribe_from_topic`. When a user changes their settings in your app, an agent can trigger the right tool call without any custom code. You can also have an agent periodically check a device's subscriptions using `list_topic_subscriptions`. This is useful for auditing or building a settings panel where the agent needs to know the current state before presenting options to the user.

Conditional Pushes in OpenAI Agents SDK

The `push_to_condition` tool lets your agent target complex user segments without you managing the lists. You can define rules like sending to users subscribed to 'topicA' but not 'topicB'. All that logic lives on the Huawei side, not in your agent. Because the OpenAI Agents SDK auto-discovers these MCP tools, your agent can reason about when to use a direct topic push versus a conditional one. It can look at the request and decide the most efficient way to target the right audience.

Setup guide

Set up Huawei Push Kit / 华为推送服务 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 Huawei Push Kit / 华为推送服务 tools at runtime.
3

Create your Agent

Pass the MCP to Agent(mcp_servers=[server]). The agent receives Huawei Push Kit / 华为推送服务 tools as native definitions — JSON schemas resolve automatically.
4

Run the agent

Call Runner.run(agent, prompt) to execute. The agent invokes the appropriate Huawei Push Kit / 华为推送服务 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="Huawei Push Kit / 华为推送服务 Agent",
            instructions="You have access to Huawei Push Kit / 华为推送服务 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 Huawei Push Kit / 华为推送服务 MCP in OpenAI Agents SDK

You instantiate the `MCPServerStreamableHttp` client with the server URL and pass it to your Agent's constructor. The tools are discovered automatically, so your agent can start using them right away without any mapping.

Yes. While the agent discovers all tools by default, you can implement custom guardrails in the SDK. This lets you approve or deny specific tool calls, like `push_to_topic`, before they are ever executed.

It's the agent framework itself. You get full tracing, handoffs between specialized agents, and safety guardrails, all visible in the OpenAI dashboard. This MCP integration lets your agents safely interact with a critical service like push notifications.

Any network call adds some latency, but it's minimal. For the OpenAI client, set `cacheToolsList=True` in the server configuration. This stops the agent from refetching the tool list on every run and speeds things up.

This server only handles device push tokens and topic subscription data when your agent explicitly tells it to. All communication is over HTTPS. The OpenAI Agents SDK also provides a full trace, so you have a complete audit log of which agent accessed what token and when.

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