Jiguang Aurora / 极光 MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Jiguang Aurora / 极光 through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
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="Jiguang Aurora / 极光 Assistant",
instructions=(
"You help users interact with Jiguang Aurora / 极光. "
"You have access to 10 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from Jiguang Aurora / 极光"
)
print(result.final_output)
asyncio.run(main())
* 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 Jiguang Aurora / 极光 MCP Server
Empower your AI agent to orchestrate your push notification infrastructure with Jiguang Aurora (极光), the premier CPaaS provider in China. By connecting Jiguang to your agent, you transform complex device targeting, scheduled messaging, and multi-platform delivery into a natural conversation. Your agent can instantly send targeted push notifications, retrieve detailed device metadata by Registration ID, manage complex delivery schedules, and audit real-time message reports without you ever needing to navigate the comprehensive Jiguang portal. Whether you are automating user verification or coordinating large-scale promotional alerts, your agent acts as a real-time messaging assistant, keeping your communication flow accurate and your users informed.
The OpenAI Agents SDK auto-discovers all 10 tools from Jiguang Aurora / 极光 through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Jiguang Aurora / 极光, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Push Orchestration — Send customized push notifications to specific users or segments with full support for deep-linking.
- Device Management — Retrieve detailed metadata for specific devices and update tags or aliases to refine your targeting.
- Schedule Control — Create and manage scheduled push tasks to ensure your messages reach users at the perfect moment.
- Delivery Auditing — Access real-time reports for message receipt and user engagement metrics.
- Operational Insights — Monitor your account quota and API usage limits to ensure system-wide communication health.
The Jiguang Aurora / 极光 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 Jiguang Aurora / 极光 to OpenAI Agents SDK via MCP
Follow these steps to integrate the Jiguang Aurora / 极光 MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 10 tools from Jiguang Aurora / 极光
Why Use OpenAI Agents SDK with the Jiguang Aurora / 极光 MCP Server
OpenAI Agents SDK provides unique advantages when paired with Jiguang Aurora / 极光 through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
Jiguang Aurora / 极光 + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the Jiguang Aurora / 极光 MCP Server delivers measurable value.
Automated workflows: build agents that query Jiguang Aurora / 极光, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries Jiguang Aurora / 极光, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through Jiguang Aurora / 极光 tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query Jiguang Aurora / 极光 to resolve tickets, look up records, and update statuses without human intervention
Jiguang Aurora / 极光 MCP Tools for OpenAI Agents SDK (10)
These 10 tools become available when you connect Jiguang Aurora / 极光 to OpenAI Agents SDK via MCP:
create_schedule
Create a scheduled push
delete_schedule
Delete a scheduled task
get_account_quota
Get API quota and usage
get_device_info
Get device information
get_message_status
Get detailed message status
get_push_report
Get push delivery report
get_user_report
Get user activity report
list_schedules
List scheduled push tasks
send_push
Send push notification
update_device
Update device tags and alias
Example Prompts for Jiguang Aurora / 极光 in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Jiguang Aurora / 极光 immediately.
"Send a push notification to Registration ID '1a0918c...'."
"Schedule a push task for tomorrow at 10 AM."
"Show me the user activity report for the last 7 days."
Troubleshooting Jiguang Aurora / 极光 MCP Server with OpenAI Agents SDK
Common issues when connecting Jiguang Aurora / 极光 to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
Jiguang Aurora / 极光 + OpenAI Agents SDK FAQ
Common questions about integrating Jiguang Aurora / 极光 MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect Jiguang Aurora / 极光 with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Jiguang Aurora / 极光 to OpenAI Agents SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.
