How to Use the Adobe Customer Journey Analytics (CJA) MCP in Vercel AI SDK

Pull Adobe Customer Journey Analytics (CJA) data straight into your Vercel AI SDK frontends for real-time customer insights.

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Connect Adobe Customer Journey Analytics (CJA) MCP to Vercel AI SDK

Create your Vinkius account to connect Adobe Customer Journey Analytics (CJA) 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 Adobe Customer Journey Analytics (CJA) with Vercel AI SDK

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Stream CJA data to your UI

Feed your Next.js components live metrics directly from your Adobe Customer Journey Analytics (CJA) data views. Use `get_data_view_metrics` to grab specific KPIs and watch them render on your screen the moment the response hits the edge. Stop waiting for background jobs to finish. Your Vercel AI SDK frontends can now display active journey counts as the AI processes them.

Inspect CJA structures in TypeScript

Map your existing AEP connections using `list_connections` before you start building your dashboard. It keeps your data flow clean and typed within your Vercel AI SDK project. Knowing exactly which `list_data_views` are available saves you from runtime errors. You get the schema right in your IDE, preventing bad calls to your analytics backend.

Automate report generation

Trigger `get_report` calls from your AI client to generate custom omnichannel insights on demand. The results land in your state management layer without extra boilerplate. Your UI components handle the output of these MCP Server calls as standard streams. It turns complex journey data into interactive charts for your end users.

Setup guide

Set up Adobe Customer Journey Analytics (CJA) 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 Adobe Customer Journey Analytics (CJA) 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 Adobe Customer Journey Analytics (CJA) 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 Adobe CJA. 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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Single dashboard

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Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Adobe Customer Journey Analytics (CJA) MCP in Vercel AI SDK

You instantiate the client and call the tools within your streamText function. This lets your React components react to the data immediately.

Yes, use the tool to fetch your current filters. It returns the raw list so you can build dynamic selection menus for your users.

Your tokens are handled by the Vinkius gateway. No raw credentials ever touch your frontend code.

Call the dimension tool during your component mount phase. It populates your dropdowns with the current schema from the server.

The server only exposes the specific dimensions and metrics you request. Vinkius enforces strict access controls on the transport layer to prevent data exposure.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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