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How to Use the Appier MCP in Vercel AI SDK

Feed live Appier marketing metrics straight into your React components using the Vercel AI SDK.

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Works with every AI agent you already use

…and any MCP-compatible client

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Vercel AI SDK

Connect Appier MCP to Vercel AI SDK

Create your Vinkius account to connect Appier 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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Real-time UI streams for active campaigns

The `list_campaigns` tool lets your app fetch active marketing campaigns directly from the Appier platform. We pass this tool to `streamText` so your users watch campaign names and schedules load incrementally. No more blank screens while waiting for a heavy API response. Your frontend renders these live updates using standard React hooks. By combining `get_campaign_analytics` with this streaming setup, performance metrics paint onto the screen the millisecond they arrive from the server.

Instant audience checks inside your AI client

The `list_audiences` tool fetches target groups from your marketing stack to verify who you are targeting. Your agent calls this along with `get_audience` to inspect specific cohort rules on the fly. This happens during a live chat session, giving your team immediate answers. Instead of building custom dashboard tables, you let the Vercel AI SDK render these cohorts inside your existing UI. The data flows through the secure Vinkius MCP gateway, keeping your tokens safe while delivering raw JSON payloads directly to your components.

Live conversion tracking via MCP Server

The `list_conversions` tool pulls your latest tracked conversion events directly into your application's context window. This MCP Server connection lets your AI client analyze conversion funnels without leaving the chat interface. You get raw event data instantly. Setup requires just a few lines of TypeScript. Call `mcpClient.tools()` to grab the schema, hand it to `generateText`, and close the connection with `mcpClient.close()` once the run completes.

Setup guide

Set up Appier 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. 1

    Install dependencies

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

  2. 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. 3

    Discover and use tools

    Call mcpClient.tools() to auto-discover all Appier tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.

  4. 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 Appier transactions",
});

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

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Appier. 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 Appier MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and `ai` via npm. Initialize the client using `createMCPClient` with your Vinkius HTTP endpoint, then pass the tools directly into `streamText` using our managed MCP Server.
By combining `get_campaign_analytics` with the Vercel AI SDK, you can pipe live marketing performance data directly to your frontend components. Users see charts update in real-time as the agent processes the stream.
You handle authentication at the gateway level. Use the SDK's `authProvider` to inject OAuth tokens securely, ensuring your agent only accesses permitted campaign data.
The SDK handles stream interruptions gracefully. You can catch transport errors directly in your Next.js API route or Edge Function, preventing your UI from breaking.
Your target segments and prediction lists remain isolated within Vinkius's zero-trust V8 sandbox. This secure MCP gateway ensures your raw customer records are never cached or logged.

Start using the Appier MCP today

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