Umami MCP Server
Read-only MCP server for Umami analytics. It talks to the Umami REST API directly over HTTP, supporting self-hosted and cloud setups.
README
Umami MCP Server
Read-only MCP server for Umami analytics. It talks to the Umami REST API directly over HTTP, supports self-hosted Umami first, and also works with Umami Cloud API keys.
This repo is built so upper-layer agents can ask for analytics without re-reading the Umami docs each time. No browser automation, no DOM scraping, no write operations.
Features
- Read-only MCP tools for the most common Umami analytics queries
- Two auth modes:
UMAMI_API_KEYUMAMI_USERNAME+UMAMI_PASSWORD
- Self-hosted bearer token caching in memory
- Automatic re-login and one retry on
401for username/password mode - ISO time strings and millisecond timestamps both accepted
- Shared filter handling across stats, pageviews, breakdowns, and event series
- Strict TypeScript with small, maintainable modules
- Clear structured tool output and explicit error categories
Requirements
- Node.js
>= 20 - pnpm
>= 10
Install
From npm:
npm install -g umami-analytics-mcp
Or run without installing:
npx -y umami-analytics-mcp
For local development in this repo:
pnpm install
Configure
Create a .env file from .env.example.
cp .env.example .env
Fill in one of the following auth options:
- API key mode
UMAMI_API_URL=https://api.umami.is/v1
UMAMI_API_KEY=your-api-key
UMAMI_DEFAULT_TIMEZONE=Asia/Shanghai
- Self-hosted username/password mode
UMAMI_API_URL=https://umami.example.com/api
UMAMI_USERNAME=admin
UMAMI_PASSWORD=secret
UMAMI_DEFAULT_TIMEZONE=Asia/Shanghai
Notes:
UMAMI_API_URLshould point to the API base, not just the site origin.- If both
UMAMI_API_KEYand username/password are set,UMAMI_API_KEYwins. UMAMI_DEFAULT_TIMEZONEis used when a tool supports timezone and you omit it.
Run Locally
Development mode:
pnpm dev
Build and run:
pnpm build
pnpm start
The server uses MCP stdio transport, so it stays attached to stdin/stdout until the client disconnects.
If installed from npm, the equivalent command is:
umami-analytics-mcp
Test
pnpm test
pnpm build
There is also a real-API integration test template that is skipped by default:
UMAMI_INTEGRATION_TEST=1 pnpm test:integration
MCP Inspector
Build first:
pnpm build
Then launch the official MCP Inspector against the built server:
npx @modelcontextprotocol/inspector node dist/cli.js
For hot reload during development, this also works:
npx @modelcontextprotocol/inspector pnpm dev
If you want to test the published package path instead, use:
npx @modelcontextprotocol/inspector npx -y umami-analytics-mcp
Make sure the same Umami environment variables are available to the Inspector process.
Recommended smoke calls in Inspector:
umami_pingumami_list_websitesumami_get_statsumami_get_breakdown
Tools
umami_ping
Validates configuration and authentication.
Example:
{}
umami_list_websites
Lists accessible websites.
Example:
{}
umami_find_website
Fuzzy search by website name or domain.
Example:
{
"query": "example.com"
}
umami_get_stats
Summary stats for a website and time range.
Example:
{
"websiteId": "8f2f8ce2-1234-4567-89ab-0123456789ab",
"startAt": "2026-04-23T00:00:00+08:00",
"endAt": "2026-04-23T23:59:59+08:00",
"filters": {
"path": "/pricing"
}
}
umami_get_pageviews
Time-series pageviews and sessions.
Example:
{
"websiteId": "8f2f8ce2-1234-4567-89ab-0123456789ab",
"startAt": "2026-04-17T00:00:00+08:00",
"endAt": "2026-04-23T23:59:59+08:00",
"unit": "day",
"compare": "prev",
"filters": {
"path": "/blog"
}
}
umami_get_breakdown
Breakdown rows such as top pages, referrers, countries, browsers, devices, and more.
Example:
{
"websiteId": "8f2f8ce2-1234-4567-89ab-0123456789ab",
"startAt": "2026-04-17T00:00:00+08:00",
"endAt": "2026-04-23T23:59:59+08:00",
"type": "path",
"limit": 10,
"expanded": false
}
umami_get_active
Returns the current active visitor count.
Example:
{
"websiteId": "8f2f8ce2-1234-4567-89ab-0123456789ab"
}
umami_get_events_series
Returns custom event counts over time.
Example:
{
"websiteId": "8f2f8ce2-1234-4567-89ab-0123456789ab",
"startAt": "2026-04-17T00:00:00+08:00",
"endAt": "2026-04-23T23:59:59+08:00",
"unit": "day"
}
Shared Filters
These tools support the same filters object:
pathreferrertitlequerybrowserosdevicecountryregioncityhostname
Error Handling
Tool errors are returned as structured MCP tool results with these categories:
config_missingauth_failedwebsite_not_foundumami_http_errornetwork_timeoutnetwork_errorinvalid_input
Mount In Any Stdio MCP Client
Any stdio-based MCP client can run this server with:
command:npxargs:["-y", "umami-analytics-mcp"]env: your Umami variables
Example JSON snippet for clients that use an mcpServers object:
{
"mcpServers": {
"umami": {
"command": "npx",
"args": ["-y", "umami-analytics-mcp"],
"env": {
"UMAMI_API_URL": "https://umami.example.com/api",
"UMAMI_USERNAME": "admin",
"UMAMI_PASSWORD": "secret",
"UMAMI_DEFAULT_TIMEZONE": "Asia/Shanghai"
}
}
}
}
For a local unreleased checkout, you can still point directly to the built file:
{
"mcpServers": {
"umami": {
"command": "node",
"args": ["/absolute/path/to/umami-mcp/dist/cli.js"]
}
}
}
Publish To npm
This repo is now structured as an npm CLI package.
Recommended release flow:
pnpm test
pnpm build
pnpm pack --dry-run
npm login
pnpm publish
Notes:
- The package name is set to
umami-analytics-mcpbecauseumami-mcpis already taken on npm. - The current
licenseisUNLICENSEDas a safe placeholder. Replace it before a real public open-source release if you want a permissive license. - If you later publish under your own npm scope, change only the
namefield inpackage.json.
Internal Docs
- API summary used by this repo: docs/umami-api.md
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.