How to Use the Umeng / 友盟+ MCP in Vercel AI SDK

Q: What data types does Umeng / 友盟+ touch when using Vercel AI SDK?

This MCP Server handles user counts (getactiveusers), session metrics (getdurationstats), and custom event records (geteventdata). The primary data type is structured analytics JSON.

Q: Can Umeng / 友盟+ assist with campaign management using Vercel AI SDK?

Absolutely. You can list tasks with listpushtasks and then use that context to either send or cancel a push notification, all while the results stream live to your user.

Q: Does Umeng / 友盟+ support OAuth authentication with Vercel AI SDK?

Yes. The Vercel AI SDK supports an authProvider for OAuth, so you can securely connect your application to the MCP Server without exposing sensitive credentials.

See Umeng / 友盟+ Data Live in Your App UI with Vercel AI SDK.

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Connect Umeng / 友盟+ MCP to Vercel AI SDK

Create your Vinkius account to connect Umeng / 友盟+ to Vercel AI SDK and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Umeng / 友盟+ with Vercel AI SDK

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Perplexity

Real-Time Analytics Streaming

When your agent calls `get_active_users` or checks `get_new_users`, the data streams directly into the frontend. Users see numbers updating live—no loading spinners needed. This real-time feed makes building user-facing tools simple, even on Edge Functions. You’re not just fetching; you're showing the data appear as it arrives.

Managing Push Notifications

Need to check a task? Calling `list_push_tasks` gives your agent all recent tasks right in the UI. You can then use that info to either `send_push` or `cancel_push`, showing the status change immediately. It’s perfect for creating operational dashboards where users need instant feedback on campaign actions.

Auditing App Performance

Use the MCP Server to get a quick snapshot of performance. Functions like `get_app_summary` or pulling specific metrics with `get_event_data` let your user view analytics data instantly. This direct streaming approach means users don't wait for a big API call to finish; they see the results pop up as the AI processes it.

Setup guide

Set up Umeng / 友盟+ MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Umeng / 友盟+ tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Umeng / 友盟+ transactions",
});

console.log(text);
await mcpClient.close();

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Umeng / 友盟+. 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.

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Common questions about Umeng / 友盟+ MCP in Vercel AI SDK

You pass the MCP Server URL to your client setup. When your agent runs a tool like `get_retention`, the result streams into React or Next.js immediately, giving you that real-time feel.

This MCP Server handles user counts (`get_active_users`), session metrics (`get_duration_stats`), and custom event records (`get_event_data`). The primary data type is structured analytics JSON.

Absolutely. You can list tasks with `list_push_tasks` and then use that context to either send or cancel a push notification, all while the results stream live to your user.

Yes. The Vercel AI SDK supports an `authProvider` for OAuth, so you can securely connect your application to the MCP Server without exposing sensitive credentials.

Focus on making sure the state updates correctly. Since everything streams in real-time, you need to handle data appending rather than just replacing old values.

Use it with your favorite AI tools

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