Umami Cloud MCP Server for Vercel AI SDK 4 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Umami Cloud through 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 Umami Cloud, 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 Umami Cloud MCP Server
The Umami Cloud MCP Server connects AI agents to the Umami Analytics API. It allows agents to retrieve real-time and historical website statistics, fetch pageviews, analyze active users, and export events dynamically while preserving end-user privacy.
The Vercel AI SDK gives every Umami Cloud tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 4 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
The Umami Cloud MCP Server exposes 4 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 Umami Cloud to Vercel AI SDK via MCP
Follow these steps to integrate the Umami Cloud 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 4 tools from Umami Cloud and passes them to the LLM
Why Use Vercel AI SDK with the Umami Cloud MCP Server
Vercel AI SDK provides unique advantages when paired with Umami Cloud 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 Umami Cloud integration everywhere
Built-in streaming UI primitives let you display Umami Cloud 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
Umami Cloud + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Umami Cloud MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Umami Cloud in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Umami Cloud tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Umami Cloud capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Umami Cloud through natural language queries
Umami Cloud MCP Tools for Vercel AI SDK (4)
These 4 tools become available when you connect Umami Cloud to Vercel AI SDK via MCP:
users
Get the number of active users on a website
websites.list
List websites configured in Umami
websites.metrics
Get specific metrics (urls, browsers, os, devices) for a website
websites.stats
Get summary statistics for a website in a time range
Example Prompts for Umami Cloud in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Umami Cloud immediately.
"Show me the top 5 pages by pageviews on my main website for the last 7 days."
"Analyze the bounce rate and absolute session duration from mobile users on the pricing page today."
"List the top 4 referral traffic sources matching 'social' for this month."
Troubleshooting Umami Cloud MCP Server with Vercel AI SDK
Common issues when connecting Umami Cloud to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUmami Cloud + Vercel AI SDK FAQ
Common questions about integrating Umami Cloud 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 Umami Cloud with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
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 Umami Cloud to Vercel AI SDK
Get your token, paste the configuration, and start using 4 tools in under 2 minutes. No API key management needed.