How to Use the Jiguang Aurora / 极光 MCP in OpenAI Agents SDK

Q: Can OpenAI Agents SDK monitor Jiguang Aurora / 极光 delivery status?

Yes, you use the getmessagestatus tool. It provides a detailed breakdown of delivery states for specific message IDs.

Q: How do I check my Jiguang Aurora / 极光 usage limits?

Call getaccountquota. It returns your current usage stats and remaining limits for the billing cycle.

Directly manage your Jiguang Aurora push campaigns and delivery logs inside your OpenAI Agents SDK production environment.

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Connect Jiguang Aurora / 极光 MCP to OpenAI Agents SDK

Create your Vinkius account to connect Jiguang Aurora / 极光 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 Jiguang Aurora / 极光 with OpenAI Agents SDK

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Automate messaging with OpenAI Agents SDK

Send targeted push notifications directly from your agent logic using `send_push`. You can define custom audience tags and payloads to ensure the right message hits the right device every time. Your agent handles the heavy lifting by checking `get_device_info` before triggering any outreach. This keeps your delivery clean and prevents unnecessary API calls to inactive registrations.

Manage schedules and quotas

Use `create_schedule` and `list_schedules` to organize your notification pipeline for future delivery. Your agent can monitor your account health using `get_account_quota` to avoid hitting rate limits during high-traffic events. If a scheduled task is no longer needed, your agent can fire `delete_schedule` to clear the queue. Everything stays synced with your backend without manual intervention.

Analyze delivery performance

Query `get_push_report` and `get_message_status` to see exactly how your notifications perform in real-time. Your agent interprets these results to adjust future targeting strategies. This MCP Server provides the granular data you need to report on user engagement. You get a clear view of delivery success rates directly in your agent's execution trace.

Setup guide

Set up Jiguang Aurora / 极光 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 Jiguang Aurora / 极光 tools at runtime.
3

Create your Agent

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

Run the agent

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

It connects via an HTTP transport layer. You pass the server to your agent constructor, and the tools become available for execution immediately.

Yes, you use the `get_message_status` tool. It provides a detailed breakdown of delivery states for specific message IDs.

It is. The server exposes precise API operations that allow your agents to manage device tags and schedules with high accuracy.

Call `get_account_quota`. It returns your current usage stats and remaining limits for the billing cycle.

The server treats your push notifications and registration IDs as ephemeral data. It performs no long-term storage of your PII beyond the necessary API request lifecycle.

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