How to Use the Adobe Analytics MCP in Vercel AI SDK

Q: How do I connect Adobe Analytics to the Vercel AI SDK?

Install @ai-sdk/mcp and initialize createMCPClient with your Vinkius endpoint URL. Pass the resulting tools into your streamText function to link the MCP Server directly to your app. Remember to call mcpClient.close() when the stream finishes.

Stream live Adobe Analytics data straight into your Next.js frontend using the Vercel AI SDK.

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Connect Adobe Analytics MCP to Vercel AI SDK

Create your Vinkius account to connect Adobe Analytics 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 Analytics with Vercel AI SDK

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Stream Live Reports with Vercel AI SDK

Your agent pulls raw traffic data using `get_report` and streams the results directly to the DOM. Viewers watch charts populate in real-time instead of staring at a spinning wheel. The Vercel AI SDK handles the chunking while the Vinkius MCP server executes the query against your specific report suite. Edge functions play nicely here. Passing `mcpClient.tools()` into `streamText` lets the client handle the async fetching. It drops the payload right into your React components the second Adobe responds.

Map Customer Segments Instantly

Calling `list_segments` returns your exact audience definitions without forcing you to write custom REST wrappers. The agent grabs the segment IDs and passes them straight into the next prompt. Dynamic dashboards become easy when the AI filters traffic based on real user personas. Next.js server actions trigger these lookups behind the scenes. Your frontend just asks for mobile users in New York, and the MCP connection translates that into the right segment parameters.

Expose Dimensions and Metrics

Building a custom query builder requires knowing what fields exist, which is why `get_dimensions` and `get_metrics` are available. Large language models read the available schema for any report suite and map natural language questions to actual Adobe variables. Hardcoding evars or props is a waste of time. The AI client dynamically checks the suite configuration and streams back the exact metric names your marketing team actually uses.

Setup guide

Set up Adobe Analytics 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 Analytics 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 Analytics 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 Analytics. 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.

Built-in savings

60%

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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 Adobe Analytics MCP in Vercel AI SDK

Install `@ai-sdk/mcp` and initialize `createMCPClient` with your Vinkius endpoint URL. Pass the resulting tools into your `streamText` function to link the MCP Server directly to your app. Remember to call `mcpClient.close()` when the stream finishes.

Yes. When the agent calls the reporting tool, the SDK chunks the JSON response. Your React frontend renders the data as it arrives.

Adobe queries take time. The streaming architecture keeps the connection alive while the MCP Server waits for the payload. Your UI stays responsive.

You handle authentication at the Vinkius layer with a single endpoint token. The SDK passes this token through the HTTP transport automatically.

Vinkius runs the connection inside an ephemeral V8 Isolate Sandbox. Your report suites and audience segments never hit our disks. Sessions die the moment your Next.js route resolves.

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