How to Use the Jiguang Aurora / 极光 MCP in Mastra AI
Automate messaging workflows in Mastra AI. Jiguang Aurora / 极光 handles your push logic.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Jiguang Aurora / 极光 MCP to Mastra AI
Create your Vinkius account to connect Jiguang Aurora / 极光 to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Build automated notification trees in Mastra AI
Chain your messaging logic into complex workflows. You can use `create_schedule` to set up recurring alerts that fire based on agent decisions. If a step fails, the workflow engine handles the retry. You define the logic once, and the server executes the delivery timeline.
Conditional messaging for complex agents
Use `get_message_status` to determine the next agent action. If a push fails to deliver, the agent can decide to try a different channel. This makes your agents responsive to the actual state of the notification. You aren't just sending; you're reacting to delivery outcomes.
Manage notification quotas automatically
Check your limits before running a massive campaign. By calling `get_account_quota`, your agents can pause if you are nearing a threshold. It prevents accidental service outages. Your agent stays within bounds without you needing to monitor the dashboard.
Set up Jiguang Aurora / 极光 MCP in Mastra AI
Prerequisites
- Node.js 18+ and a TypeScript project
-
@mastra/mcp+@mastra/corepackages - Active Vinkius subscription with a valid endpoint token
- 1
Install dependencies
Run
npm install @mastra/mcp @mastra/coreplus your preferred model provider (e.g.@ai-sdk/openai). - 2
Configure the MCPClient
Create an
MCPClientwith your Vinkius endpoint as aURLobject. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Discover and inject tools
Call
mcpClient.listTools()and spread the result into your agent'stoolsobject. All Jiguang Aurora / 极光 tools become native Mastra tools. - 4
Run with any model
Swap
openai("gpt-4o")for any AI SDK-compatible provider. Callagent.generate()and the agent routes tool calls through MCP automatically.
import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";
const mcpClient = new MCPClient({
id: "jiguang-aurora-mcp-client",
servers: {
"jiguang-aurora-mcp": {
url: new URL(
"https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
),
},
},
});
const agent = new Agent({
name: "Jiguang Aurora / 极光 Agent",
model: openai("gpt-4o"),
instructions: "You have access to Jiguang Aurora / 极光 tools.",
tools: {
...(await mcpClient.listTools()),
},
});
const result = await agent.generate(
"List recent Jiguang Aurora / 极光 transactions"
);
console.log(result.text); Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Jiguang Aurora / 极光. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
Why Choose Vinkius
Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.
Real-time monitoring
Live
visibility into every interaction
Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.
Built-in savings
60%
lower AI costs
Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.
Single dashboard
One
place for every integration
Every tool your AI connects to, managed from a single screen. One account, complete control.
Common questions about Jiguang Aurora / 极光 MCP in Mastra AI
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
Start using the Jiguang Aurora / 极光 MCP today
We host it, we monitor it, we maintain it. You just paste one token.