Jiguang Aurora / 极光 MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Jiguang Aurora / 极光 through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using Jiguang Aurora / 极光, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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 Vercel AI SDK gives every Jiguang Aurora / 极光 tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the Jiguang Aurora / 极光 MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from Jiguang Aurora / 极光 and passes them to the LLM
Why Use Vercel AI SDK with the Jiguang Aurora / 极光 MCP Server
Vercel AI SDK provides unique advantages when paired with Jiguang Aurora / 极光 through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same Jiguang Aurora / 极光 integration everywhere
Built-in streaming UI primitives let you display Jiguang Aurora / 极光 tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
Jiguang Aurora / 极光 + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Jiguang Aurora / 极光 MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Jiguang Aurora / 极光 in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Jiguang Aurora / 极光 tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Jiguang Aurora / 极光 capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Jiguang Aurora / 极光 through natural language queries
Jiguang Aurora / 极光 MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Jiguang Aurora / 极光 to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting Jiguang Aurora / 极光 to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpJiguang Aurora / 极光 + Vercel AI SDK FAQ
Common questions about integrating Jiguang Aurora / 极光 MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.