Umami (Privacy Analytics) MCP Server for Vercel AI SDKGive Vercel AI SDK instant access to 53 tools to Add Team User, Admin List Teams, Admin List Users, and more
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Umami (Privacy Analytics) through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
Ask AI about this MCP Server for Vercel AI SDK
The Umami (Privacy Analytics) MCP Server for Vercel AI SDK is a standout in the Marketing Automation category — giving your AI agent 53 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
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 (Privacy 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 Umami (Privacy Analytics) MCP Server
Connect your Umami instance to any AI agent to monitor your privacy-focused analytics and manage your infrastructure through natural language. Umami is the open-source, privacy-friendly alternative to Google Analytics, and this MCP server gives you full control over your data.
The Vercel AI SDK gives every Umami (Privacy Analytics) tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 53 tools through 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
- Event Tracking — Send custom events and page views directly to your Umami instance using the
send_eventtool. - Website Management — List and manage all websites associated with your account or the entire instance using
get_me_websitesoradmin_list_websites. - User & Team Administration — Perform administrative tasks like creating, updating, or deleting users and managing teams with tools like
create_userandadmin_list_teams. - Session Insights — Retrieve information about your current session and authorized access levels using
get_me. - Self-Hosted Support — Seamlessly connect to your own infrastructure using the
logintool to authenticate and retrieve tokens.
The Umami (Privacy Analytics) MCP Server exposes 53 tools through the Vinkius. Connect it to Vercel AI SDK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 53 Umami (Privacy Analytics) tools available for Vercel AI SDK
When Vercel AI SDK connects to Umami (Privacy Analytics) through Vinkius, your AI agent gets direct access to every tool listed below — spanning web-analytics, privacy-focused, event-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.
Add team user on Umami (Privacy Analytics)
Add user to team
Admin list teams on Umami (Privacy Analytics)
Returns all teams (Admin only)
Admin list users on Umami (Privacy Analytics)
Returns all users (Admin only)
Admin list websites on Umami (Privacy Analytics)
Returns all websites (Admin only)
Create attribution report on Umami (Privacy Analytics)
Marketing attribution report
Create funnel report on Umami (Privacy Analytics)
Conversion funnel report
Create link on Umami (Privacy Analytics)
Creates a link
Create pixel on Umami (Privacy Analytics)
Creates a pixel
Create report on Umami (Privacy Analytics)
Creates a report
Create retention report on Umami (Privacy Analytics)
User retention report
Create revenue report on Umami (Privacy Analytics)
Revenue report
Create team on Umami (Privacy Analytics)
Creates a team
Create user on Umami (Privacy Analytics)
Creates a user (Admin only)
Create website on Umami (Privacy Analytics)
Creates a website
Delete user on Umami (Privacy Analytics)
Deletes a user (Admin only)
Delete website on Umami (Privacy Analytics)
Deletes a website
Get me on Umami (Privacy Analytics)
Get information about the current session
Get me teams on Umami (Privacy Analytics)
Get all teams for the current user
Get me websites on Umami (Privacy Analytics)
Get all websites for the current user
Get realtime stats on Umami (Privacy Analytics)
Realtime stats within the last 30 minutes
Get session on Umami (Privacy Analytics)
Individual session details
Get session activity on Umami (Privacy Analytics)
Activity for a session
Get team users on Umami (Privacy Analytics)
Get team members
Get team websites on Umami (Privacy Analytics)
Get team websites
Get user on Umami (Privacy Analytics)
Gets a user by ID (Admin only)
Get user teams on Umami (Privacy Analytics)
Gets all teams belonging to a user (Admin only)
Get user websites on Umami (Privacy Analytics)
Gets all websites belonging to a user (Admin only)
Get website on Umami (Privacy Analytics)
Gets a website by ID
Get website active on Umami (Privacy Analytics)
Active users in the last 5 minutes
Get website daterange on Umami (Privacy Analytics)
Available data date range
Get website event data on Umami (Privacy Analytics)
Event data grouped by event
Get website event data events on Umami (Privacy Analytics)
Event data names and counts
Get website event data fields on Umami (Privacy Analytics)
Property and value counts
Get website events on Umami (Privacy Analytics)
Website event details
Get website events stats on Umami (Privacy Analytics)
Aggregated event statistics
Get website metrics on Umami (Privacy Analytics)
Metrics for a given time range (type: path, browser, os, etc.)
Get website metrics expanded on Umami (Privacy Analytics)
Expanded metrics including bounces and total time
Get website pageviews on Umami (Privacy Analytics)
Pageviews and sessions series data
Get website sessions on Umami (Privacy Analytics)
Website session details
Get website sessions stats on Umami (Privacy Analytics)
Summarized session statistics
Get website stats on Umami (Privacy Analytics)
Summarized website statistics (pageviews, visitors, etc.)
Join team on Umami (Privacy Analytics)
Join a team via access code
List links on Umami (Privacy Analytics)
Returns all user links
List pixels on Umami (Privacy Analytics)
Returns all user pixels
List reports on Umami (Privacy Analytics)
Get all reports by website ID
List teams on Umami (Privacy Analytics)
Returns all teams
List websites on Umami (Privacy Analytics)
Returns all user websites
Login on Umami (Privacy Analytics)
Login to self-hosted Umami to get a token
Reset website on Umami (Privacy Analytics)
Removes all data related to the website
Send event on Umami (Privacy Analytics)
Send an event to Umami
Update user on Umami (Privacy Analytics)
Updates a user (Admin only)
Update website on Umami (Privacy Analytics)
Updates a website
Verify token on Umami (Privacy Analytics)
Verify if the current token is still valid
Connect Umami (Privacy Analytics) to Vercel AI SDK via MCP
Follow these steps to wire Umami (Privacy Analytics) into Vercel AI SDK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.
Install dependencies
npm install @ai-sdk/mcp ai @ai-sdk/openaiReplace the token
[YOUR_TOKEN_HERE] with your Vinkius tokenRun the script
agent.ts and run with npx tsx agent.tsExplore tools
Why Use Vercel AI SDK with the Umami (Privacy Analytics) MCP Server
Vercel AI SDK provides unique advantages when paired with Umami (Privacy 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 Umami (Privacy Analytics) integration everywhere
Built-in streaming UI primitives let you display Umami (Privacy 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
Umami (Privacy Analytics) + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Umami (Privacy Analytics) MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Umami (Privacy Analytics) in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Umami (Privacy Analytics) tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Umami (Privacy Analytics) capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Umami (Privacy Analytics) through natural language queries
Example Prompts for Umami (Privacy Analytics) in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Umami (Privacy Analytics) immediately.
"List all websites I have access to in Umami."
"Send a 'newsletter_signup' event for website 8f2...1a on page /thanks."
"Show me all users on this Umami instance."
Troubleshooting Umami (Privacy Analytics) MCP Server with Vercel AI SDK
Common issues when connecting Umami (Privacy Analytics) to Vercel AI SDK through Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpUmami (Privacy Analytics) + Vercel AI SDK FAQ
Common questions about integrating Umami (Privacy 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.Explore More MCP Servers
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