Jiguang Aurora / 极光 MCP Server for Mastra AI 10 tools — connect in under 2 minutes
Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Jiguang Aurora / 极光 through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";
async function main() {
// Your Vinkius token. get it at cloud.vinkius.com
const mcpClient = await createMCPClient({
servers: {
"jiguang-aurora": {
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
},
});
const tools = await mcpClient.getTools();
const agent = new Agent({
name: "Jiguang Aurora / 极光 Agent",
instructions:
"You help users interact with Jiguang Aurora / 极光 " +
"using 10 tools.",
model: openai("gpt-4o"),
tools,
});
const result = await agent.generate(
"What can I do with Jiguang Aurora / 极光?"
);
console.log(result.text);
}
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.
Mastra's agent abstraction provides a clean separation between LLM logic and Jiguang Aurora / 极光 tool infrastructure. Connect 10 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.
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 Mastra AI 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 Mastra AI via MCP
Follow these steps to integrate the Jiguang Aurora / 极光 MCP Server with Mastra AI.
Install dependencies
Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.ts and run with npx tsx agent.ts
Explore tools
Mastra discovers 10 tools from Jiguang Aurora / 极光 via MCP
Why Use Mastra AI with the Jiguang Aurora / 极光 MCP Server
Mastra AI provides unique advantages when paired with Jiguang Aurora / 极光 through the Model Context Protocol.
Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Jiguang Aurora / 极光 without touching business code
Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation
TypeScript-native: full type inference for every Jiguang Aurora / 极光 tool response with IDE autocomplete and compile-time checks
One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure
Jiguang Aurora / 极光 + Mastra AI Use Cases
Practical scenarios where Mastra AI combined with the Jiguang Aurora / 极光 MCP Server delivers measurable value.
Automated workflows: build multi-step agents that query Jiguang Aurora / 极光, process results, and trigger downstream actions in a typed pipeline
SaaS integrations: embed Jiguang Aurora / 极光 as a first-class tool in your product's AI features with Mastra's clean agent API
Background jobs: schedule Mastra agents to query Jiguang Aurora / 极光 on a cron and store results in your database automatically
Multi-agent systems: create specialist agents that collaborate using Jiguang Aurora / 极光 tools alongside other MCP servers
Jiguang Aurora / 极光 MCP Tools for Mastra AI (10)
These 10 tools become available when you connect Jiguang Aurora / 极光 to Mastra AI 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 Mastra AI
Ready-to-use prompts you can give your Mastra AI 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 Mastra AI
Common issues when connecting Jiguang Aurora / 极光 to Mastra AI through the Vinkius, and how to resolve them.
createMCPClient not exported
npm install @mastra/mcpJiguang Aurora / 极光 + Mastra AI FAQ
Common questions about integrating Jiguang Aurora / 极光 MCP Server with Mastra AI.
How does Mastra AI connect to MCP servers?
MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.Can Mastra agents use tools from multiple servers?
Does Mastra support workflow orchestration?
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Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Jiguang Aurora / 极光 to Mastra AI
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.