How to Use the Umami Cloud MCP in Vercel AI SDK

Q: Does Umami Cloud support streaming complex metrics with Vercel AI SDK?

Yep. When you call websites, the results for URLs, browsers, and devices stream out immediately. It’s perfect for building user-facing products where live data updates matter.

Stream analytics data into your UI in real time with Vercel AI SDK.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Umami Cloud MCP to Vercel AI SDK

Create your Vinkius account to connect Umami Cloud 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.

GDPR Free for Subscribers

Setup Umami Cloud with Vercel AI SDK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Real-Time Web Metrics via MCP Server

The `websites` tool gets specific metrics—like which URLs, browsers, or devices are hitting a site. You can stream this data directly into your React component. Users see the analytics pop up instantly, skipping that boring loading spinner.

Track Active User Counts with ai-sdk

Want to know how many people are online right now? Call the `users` tool to get an active user count for your site. Since this result streams, you can display a live counter that updates as the data arrives.

Handling Site Metrics with ai-sdk

The MCP Server handles complex web metrics retrieval. You pass in criteria and get back detailed insights on OS or browser usage for any given website. This makes building interactive, live dashboards simple.

Setup guide

Set up Umami Cloud 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 Umami Cloud 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 Umami Cloud 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 Umami Cloud. 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.

Connect Umami Cloud now

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 Umami Cloud MCP in Vercel AI SDK

You call the MCP tool through your agent setup and stream the result directly into your client component. This means the user sees the analytics data appearing in real time, right on the page.

Yep. When you call `websites`, the results for URLs, browsers, and devices stream out immediately. It’s perfect for building user-facing products where live data updates matter.

It provides web analytics data, specifically active user counts and granular website metrics like device type and operating system. This is all derived from the `users` and `websites` tools.

You simply pass your request to the MCP client, calling the `users` tool. The result streams back, allowing you to update a counter on your site without delay.

Absolutely. This MCP Server is built as a privacy-focused web analytics alternative, giving you metrics while keeping user data protected from major trackers.

Use it with your favorite AI tools

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

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript