2,500+ MCP servers ready to use
Vinkius

Adobe Analytics MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes

Built by Vinkius GDPR 5 Tools SDK

The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Adobe Analytics through the Vinkius and every tool is available as a typed function — ready for React Server Components, API routes, or any Node.js backend.

Vinkius supports streamable HTTP and SSE.

typescript
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

async function main() {
  const mcpClient = await createMCPClient({
    transport: {
      type: "http",
      // Your Vinkius token — get it at cloud.vinkius.com
      url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    },
  });

  try {
    const tools = await mcpClient.tools();
    const { text } = await generateText({
      model: openai("gpt-4o"),
      tools,
      prompt: "Using Adobe Analytics, list all available capabilities.",
    });
    console.log(text);
  } finally {
    await mcpClient.close();
  }
}

main();
Adobe Analytics
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Adobe Analytics MCP Server

Connect your Adobe Analytics account to your AI agent to unlock deep customer journey insights and real-time data orchestration. From retrieving complex reporting breakdowns to managing audience segments and auditing calculated metrics, your agent handles your enterprise analytics ecosystem through natural conversation.

The Vercel AI SDK gives every Adobe Analytics tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 5 tools through the Vinkius and stream results progressively to React, Svelte, or Vue components — works on Edge Functions, Cloudflare Workers, and any Node.js runtime.

What you can do

  • Enterprise Reporting — Retrieve synchronous reports with nested breakdowns and complex filters directly from chat
  • Component Discovery — List and audit all available metrics and dimensions for your specific report suites
  • Segment Management — List and retrieve details for audience segments to ensure your data is always relevant
  • Report Suite Oversight — Manage and list your report suites (collections) to maintain organizational control
  • Real-time Performance — Quickly identify traffic trends and engagement patterns without manual dashboard configuration

The Adobe Analytics MCP Server exposes 5 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Adobe Analytics to Vercel AI SDK via MCP

Follow these steps to integrate the Adobe Analytics MCP Server with Vercel AI SDK.

01

Install dependencies

Run npm install @ai-sdk/mcp ai @ai-sdk/openai

02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

03

Run the script

Save to agent.ts and run with npx tsx agent.ts

04

Explore tools

The SDK discovers 5 tools from Adobe Analytics and passes them to the LLM

Why Use Vercel AI SDK with the Adobe Analytics MCP Server

Vercel AI SDK provides unique advantages when paired with Adobe Analytics through the Model Context Protocol.

01

TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box

02

Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Adobe Analytics integration everywhere

03

Built-in streaming UI primitives let you display Adobe Analytics tool results progressively in React, Svelte, or Vue components

04

Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency

Adobe Analytics + Vercel AI SDK Use Cases

Practical scenarios where Vercel AI SDK combined with the Adobe Analytics MCP Server delivers measurable value.

01

AI-powered web apps: build dashboards that query Adobe Analytics in real-time and stream results to the UI with zero loading states

02

API backends: create serverless endpoints that orchestrate Adobe Analytics tools and return structured JSON responses to any frontend

03

Chatbots with tool use: embed Adobe Analytics capabilities into conversational interfaces with streaming responses and tool call visibility

04

Internal tools: build admin panels where team members interact with Adobe Analytics through natural language queries

Adobe Analytics MCP Tools for Vercel AI SDK (5)

These 5 tools become available when you connect Adobe Analytics to Vercel AI SDK via MCP:

01

get_dimensions

g. Page, Device Type) for a specific report suite ID. List dimensions for a report suite

02

get_metrics

List metrics for a report suite

03

get_report

0 JSON report request body. Retrieve an analytics report

04

list_report_suites

List available report suites

05

list_segments

List audience segments

Example Prompts for Adobe Analytics in Vercel AI SDK

Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Adobe Analytics immediately.

01

"List all metrics available for report suite 'mycompany-prod'."

02

"Show me the top 5 pages by visits for yesterday."

03

"List all active segments in my Adobe Analytics account."

Troubleshooting Adobe Analytics MCP Server with Vercel AI SDK

Common issues when connecting Adobe Analytics to Vercel AI SDK through the Vinkius, and how to resolve them.

01

createMCPClient is not a function

Install: npm install @ai-sdk/mcp

Adobe Analytics + Vercel AI SDK FAQ

Common questions about integrating Adobe Analytics MCP Server with Vercel AI SDK.

01

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.
02

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.
03

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

Connect Adobe Analytics to Vercel AI SDK

Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.