How to Use the GeTui / 个推 MCP in Vercel AI SDK

Q: How do I stream GeTui / 个推 dispatch reports to a Next.js UI using the Vercel AI SDK?

Use streamText along with the getdailypushreport tool from this MCP Server. The AI client will stream the daily delivery metrics piece-by-piece, allowing you to render live charts on the frontend.

Q: Can I run targeted campaigns via GeTui / 个推 directly from a Vercel AI SDK edge function?

Yes, this server works with Edge Functions. You can invoke pushtolist from your streaming route, sending notifications to millions of Chinese devices without hitting cold-start bottlenecks.

Q: How does the Vercel AI SDK handle connection failures to GeTui / 个推?

The SDK handles HTTP transport errors natively. If pushtosingle fails, the client catches the error, allowing your agent to explain the failure or retry the request.

Build live-streaming push notification dashboards directly in your Next.js frontend using the Vercel AI SDK.

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Connect GeTui / 个推 MCP to Vercel AI SDK

Create your Vinkius account to connect GeTui / 个推 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 GeTui / 个推 with Vercel AI SDK

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Live Push Status Tracker

The `get_push_status` tool lets your Vercel AI SDK client query delivery progress in real-time. Instead of waiting for a full page reload, the agent streams the exact delivery percentage and receipt counts directly to the user's browser. This direct streaming setup cuts down perceived latency for campaign managers. You can pair it with `get_cid_status` to show live connectivity states on the screen as the agent processes the batch.

Interactive User Tag Explorer

The `get_user_tags` tool fetches Chinese audience segment data directly into your frontend application. Your AI client reads the raw tag arrays and renders them dynamically without requiring custom API endpoints. This eliminates the need for separate backend routers to fetch metadata. You can immediately trigger a targeted push using `push_to_list` based on the tags the user selects in the streaming chat interface.

Direct Alias Mapping via MCP Server

The `bind_user_alias` tool connects a customer's database ID to their specific GeTui Client ID right inside your app. When developers debug notification issues, the Vercel AI SDK lets them type a username, and the agent resolves the mapping instantly using `query_user_alias`. You don't have to build a dedicated admin panel for device management. This MCP Server gives your LLM direct access to the mapping table, rendering the output as clean JSON in the chat window.

Setup guide

Set up GeTui / 个推 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 GeTui / 个推 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 GeTui / 个推 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 GeTui / 个推. 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

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Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

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Common questions about GeTui / 个推 MCP in Vercel AI SDK

Use streamText along with the `get_daily_push_report` tool from this MCP Server. The AI client will stream the daily delivery metrics piece-by-piece, allowing you to render live charts on the frontend.

Yes, this server works with Edge Functions. You can invoke `push_to_list` from your streaming route, sending notifications to millions of Chinese devices without hitting cold-start bottlenecks.

The SDK handles HTTP transport errors natively. If `push_to_single` fails, the client catches the error, allowing your agent to explain the failure or retry the request.

Install the required packages and instantiate the client. Pass the tool array directly into the tools parameter of your generateText call.

Vinkius runs the server in an isolated sandbox, meaning your raw Client IDs and alias mappings never touch third-party logs. All payload transmissions to the push gateway occur over encrypted channels, keeping user device identifiers private.

Use it with your favorite AI tools

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