How do I find my Jiguang App Key and Master Secret?

Log in to the [Jiguang portal](https://www.jiguang.cn/), create an application, and you will find your App Key and Master Secret in the application overview or settings section.

Can I target specific users with an alias?

Yes. Jiguang allows you to set an 'alias' for each device. You can then use the `send_push` tool with that alias in the audience payload to send targeted notifications to specific individuals.

Is it possible to track if a message was received?

Yes! Use the `get_push_report` tool with your message IDs to retrieve delivery statistics, including the count of devices that successfully received the notification.

Jiguang Aurora / 极光 MCP Server for LangChain 10 tools — connect in under 2 minutes

Name: Jiguang Aurora / 极光
Availability: InStock
Author: Vinkius

python.langchain.com/docs/integrations/tools/mcp

Built by Vinkius GDPR 10 Tools Framework

LangChain is the leading Python framework for composable LLM applications. Connect Jiguang Aurora / 极光 through Vinkius and LangChain agents can call every tool natively. combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MultiServerMCPClient({
        "jiguang-aurora": {
            "transport": "streamable_http",
            "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
        }
    }) as client:
        tools = client.get_tools()
        agent = create_react_agent(
            ChatOpenAI(model="gpt-4o"),
            tools,
        )
        response = await agent.ainvoke({
            "messages": [{
                "role": "user",
                "content": "Using Jiguang Aurora / 极光, show me what tools are available.",
            }]
        })
        print(response["messages"][-1].content)

asyncio.run(main())

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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.

LangChain's ecosystem of 500+ components combines seamlessly with Jiguang Aurora / 极光 through native MCP adapters. Connect 10 tools via Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures. with LangSmith tracing giving full visibility into every tool call, latency, and token cost.

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 LangChain 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 LangChain via MCP

Follow these steps to integrate the Jiguang Aurora / 极光 MCP Server with LangChain.

Install dependencies

Run pip install langchain langchain-mcp-adapters langgraph langchain-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save the code and run python agent.py

Explore tools

The agent discovers 10 tools from Jiguang Aurora / 极光 via MCP

Why Use LangChain with the Jiguang Aurora / 极光 MCP Server

LangChain provides unique advantages when paired with Jiguang Aurora / 极光 through the Model Context Protocol.

The largest ecosystem of integrations, chains, and agents. combine Jiguang Aurora / 极光 MCP tools with 500+ LangChain components

Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step

LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging

Memory and conversation persistence let agents maintain context across Jiguang Aurora / 极光 queries for multi-turn workflows

Jiguang Aurora / 极光 + LangChain Use Cases

Practical scenarios where LangChain combined with the Jiguang Aurora / 极光 MCP Server delivers measurable value.

RAG with live data: combine Jiguang Aurora / 极光 tool results with vector store retrievals for answers grounded in both real-time and historical data

Autonomous research agents: LangChain agents query Jiguang Aurora / 极光, synthesize findings, and generate comprehensive research reports

Multi-tool orchestration: chain Jiguang Aurora / 极光 tools with web scrapers, databases, and calculators in a single agent run

Production monitoring: use LangSmith to trace every Jiguang Aurora / 极光 tool call, measure latency, and optimize your agent's performance

Jiguang Aurora / 极光 MCP Tools for LangChain (10)

These 10 tools become available when you connect Jiguang Aurora / 极光 to LangChain 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 LangChain

Ready-to-use prompts you can give your LangChain 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 LangChain

Common issues when connecting Jiguang Aurora / 极光 to LangChain through the Vinkius, and how to resolve them.

MultiServerMCPClient not found

Install: pip install langchain-mcp-adapters

Jiguang Aurora / 极光 + LangChain FAQ

Common questions about integrating Jiguang Aurora / 极光 MCP Server with LangChain.

How does LangChain connect to MCP servers?

Use langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.

Which LangChain agent types work with MCP?

All agent types including ReAct, OpenAI Functions, and custom agents work with MCP tools. The tools appear as standard LangChain tools after the adapter wraps them.