Adobe Analytics MCP Server for Vercel AI SDK 5 tools — connect in under 2 minutes
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.
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Vinkius supports streamable HTTP and SSE.
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();
* 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.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
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.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime — same Adobe Analytics integration everywhere
Built-in streaming UI primitives let you display Adobe Analytics tool results progressively in React, Svelte, or Vue components
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.
AI-powered web apps: build dashboards that query Adobe Analytics in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Adobe Analytics tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Adobe Analytics capabilities into conversational interfaces with streaming responses and tool call visibility
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:
get_dimensions
g. Page, Device Type) for a specific report suite ID. List dimensions for a report suite
get_metrics
List metrics for a report suite
get_report
0 JSON report request body. Retrieve an analytics report
list_report_suites
List available report suites
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.
"List all metrics available for report suite 'mycompany-prod'."
"Show me the top 5 pages by visits for yesterday."
"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.
createMCPClient is not a function
npm install @ai-sdk/mcpAdobe Analytics + Vercel AI SDK FAQ
Common questions about integrating Adobe Analytics MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.Connect Adobe Analytics with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Google's framework for building production AI agents.
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Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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.
