Umeng / 友盟+ 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 Umeng / 友盟+ through the 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 Umeng / 友盟+, 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 Umeng / 友盟+ MCP Server
Empower your AI agent to orchestrate your mobile growth and engagement with Umeng+ (友盟+), the premier mobile infrastructure provider in China. By connecting Umeng to your agent, you transform complex push notification campaigns and deep analytical auditing into a natural conversation. Your agent can instantly send targeted push messages, retrieve real-time delivery status, monitor user retention trends, and even provide high-level application performance summaries without you ever needing to navigate the comprehensive Umeng portal. Whether you are conducting a growth audit or coordinating a cross-functional marketing blast, your agent acts as a real-time mobile operations assistant, keeping your data accurate and your users engaged.
The Vercel AI SDK gives every Umeng / 友盟+ tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through the 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 template-based or custom push notifications and retrieve real-time delivery and click status.
- User Growth Auditing — Retrieve detailed metrics for active users, new registrations, and retention across any time period.
- Behavioral Analysis — Browse custom event data and session duration statistics to identify user engagement patterns.
- Task Management — List recent push tasks and cancel pending operations directly through the agent interface.
- Performance Insights — Access high-level application summaries to monitor the health and growth of your mobile ecosystem.
The Umeng / 友盟+ 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 Umeng / 友盟+ to Vercel AI SDK via MCP
Follow these steps to integrate the Umeng / 友盟+ 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 Umeng / 友盟+ and passes them to the LLM
Why Use Vercel AI SDK with the Umeng / 友盟+ MCP Server
Vercel AI SDK provides unique advantages when paired with Umeng / 友盟+ 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 Umeng / 友盟+ integration everywhere
Built-in streaming UI primitives let you display Umeng / 友盟+ 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
Umeng / 友盟+ + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Umeng / 友盟+ MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Umeng / 友盟+ in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Umeng / 友盟+ tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Umeng / 友盟+ capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Umeng / 友盟+ through natural language queries
Umeng / 友盟+ MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect Umeng / 友盟+ to Vercel AI SDK via MCP:
cancel_push
Cancel pending push task
get_active_users
Get active user count
get_app_summary
Get app analytics summary
get_duration_stats
Get session duration stats
get_event_data
Get custom event data
get_new_users
Get new user registrations
get_push_status
Check push task status
get_retention
Get user retention stats
list_push_tasks
List recent push tasks
send_push
Send push notification
Example Prompts for Umeng / 友盟+ in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Umeng / 友盟+ immediately.
"Send a broadcast push saying 'Flash Sale starts now!' to all users."
"Show me the active user metrics for today."
"What is the retention rate for users who joined last Monday?"
Troubleshooting Umeng / 友盟+ MCP Server with Vercel AI SDK
Common issues when connecting Umeng / 友盟+ to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUmeng / 友盟+ + Vercel AI SDK FAQ
Common questions about integrating Umeng / 友盟+ 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 Umeng / 友盟+ 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 Umeng / 友盟+ to Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.