A Model Context Protocol (MCP) server for Umami Analytics. It supports read-only querying of Umami v3 data, including traffic statistics, funnels, retention, and attribution with UTM. MCP clients (e.g., Claude, Cursor) can request analytics insights while credentials remain on the user’s machine.
🛠️ Key Features
Query Umami Analytics v3
Read-only by default
Stats, funnels, retention, and attribution
UTM support
🚀 Use Cases
Retrieve traffic statistics from Umami
Analyze user funnels
Check retention patterns
Inspect attribution data using UTM parameters
⚡ Developer Benefits
Works with any MCP client that can connect to the server
Credentials stay on the client machine
TypeScript-focused package targeting MCP and analytics workflows
⚠️ Limitations
Read-only by default (no write operations indicated)
A Model Context Protocol server for Umami Analytics.
Ask Claude, Cursor or any MCP client about your traffic — and let it create and manage websites — while your
credentials stay on your own machine.
code
"Which pages drove the most visitors last month, and where did that traffic come from?"
"Build a funnel from /pricing to /signup to /welcome for the last 30 days."
"Add analytics for my new site blog.example.com and give me the tracking snippet."
umami-mcp answering questions about live traffic
A throwaway site with generated traffic, on a live Umami 3.3.1 instance, read by a
view-only service account — so the counts are small and mean nothing, but every one of them was
really collected and really queried. Regenerate with vhs demo/demo.tape.
Why this exists
Umami has no official MCP server. Several community ones exist, and if you just want broad API
coverage you should look at 0xtlt/umami-mcp first — it
wraps more of the API than this does. Some of the older servers
(jakeyShakey,
mikusnuz,
mittwald,
Macawls) were written against the v2 API and
break on a modern instance, because v3 renamed things without aliases:
This server exists for two things the others do not do:
1. Complete, verified v3 report coverage. All seven v3 report types — funnel, retention,
journey, goal, revenue, attribution and UTM — were exercised against a live Umami 3.3.1
instance. The report envelope is easy to get wrong: dates go in parameters as ISO-8601 strings,
not in filters, and not as the epoch milliseconds the rest of the API uses. Attribution takes
first-click / last-click, not the camelCase spellings you would guess.
2. A capability model rather than a boolean. See below.
Security model
An analytics MCP server holds a credential that can read every visitor session you have ever
recorded — and, if you let it, delete the lot. The design follows from that.
Your credentials never leave your environment. Configuration is read only from the process
environment. There is no telemetry, no phone-home, and no hosted relay. The only host this
server ever contacts is the UMAMI_URL you set. If you self-host it, nothing about your
analytics ever reaches a third party — including the author of this software.
Be wary of any Umami MCP that offers a hosted endpoint you point at your instance.
Self-hosted Umami has no API keys, so "convenient" hosting means mailing your admin
password to someone else's server.
Least privilege by default. The server starts in read mode. Widening is a deliberate act:
Mode
Adds
read(default)
Analytics, reports, listing websites
write
Create and update websites and teams
admin
User management
+ UMAMI_MCP_ALLOW_DESTRUCTIVE=true
Delete website, reset data, delete user
Withheld tools are not registered at all, so they never appear in the model's tool list.
This is the part that differs from a READONLY=true flag: a tool that was never advertised
cannot be invoked by a prompt-injected instruction hidden in, say, a referrer string or a page
title inside your own analytics data. There is no runtime check to forget or bypass, because
there is no tool.
Destructive actions need a typed confirmation checked against reality.umami_delete_website
takes a confirmDomain argument, fetches the live record, and refuses unless they match. A model
that reaches for the wrong website UUID gets an error, not a wiped dataset.
Credentials stay out of client config. Rather than requiring your password inside
~/.claude.json or mcp.json, the server reads it from a file you control at
~/.config/umami-mcp/env, and warns if that file is readable by other users. See
Credentials.
Secrets are scrubbed from output. MCP output flows into a model and often into a chat
transcript, which cannot be un-said. Passwords, bearer tokens and JWTs are redacted from every
error and response before they leave the process.
Refuses to leak credentials over the wire. Plaintext HTTP to a remote host is rejected at
startup; it is permitted only for localhost, for local development.
Install
Three ways to run it. Self-hosting is the default and the recommended one — the hosted
instance exists so you can try it in two minutes without cloning anything.
Runs where
Credentials live
Best for
Hosted
asif.dev
Sealed in your token, never stored
Trying it out; Claude web and Cowork
Source
Your machine
A file only you can read
Daily use in Claude Code
Docker
Your server
Your .env
Teams, always-on
If you self-host and want it in Claude web, run it with UMAMI_MCP_OAUTH=true behind your own
domain — then nothing of yours touches anyone else's infrastructure.
git clone https://github.com/Asif2BD/umami-mcp.git
cd umami-mcp
npm install && npm run build
Then set up credentials and register it with your client:
bash
claude mcp add umami --scope user -- node "$PWD/dist/index.js"
Requires Node 20 or newer.
3. Docker
bash
git clone https://github.com/Asif2BD/umami-mcp.git
cd umami-mcp
cp .env.example .env# then edit .env
docker compose up -d
npm: not published yet. Once it is, npx -y @asif2bd/umami-mcp will replace the
clone-and-build step above. Until then use source or Docker.
Credentials
Self-hosted Umami has no API keys, so the credential this server holds is a real account
password. MCP clients normally want that embedded in their config JSON — ~/.claude.json,
mcp.json and friends — which are widely readable, get pasted into issues and screen-shares, and
are synced between machines by some clients.
So this server reads credentials from a file you control instead. Create it once:
The server loads it automatically. It warns on startup if the file is readable by other users.
Lookup order — the first file found wins, and real environment variables always override the
file, so you can still pass settings from the client config when you want to:
With the credentials file above, the registration carries no secrets at all:
bash
claude mcp add umami --scope user -- node ~/umami-mcp/dist/index.js
Use the absolute path to your checkout. If your Node lives under nvm, give the full
interpreter path too, since MCP clients do not load your shell profile:
bash
claude mcp add umami --scope user -- ~/.nvm/versions/node/v22.22.0/bin/node ~/umami-mcp/dist/index.js
Ask your client to run umami_whoami. It reports the instance, the account, and the permission
mode — the fastest way to confirm the connection and see how much the server is allowed to do:
Then try: "List my Umami websites", or "What were my top pages last week?"
Claude web, Cowork, and Claude Code on web
Those clients cannot launch a local process, so they need a public HTTPS MCP server — and their
connector UI accepts OAuth only, with no field for a static bearer token or custom header.
Hosting the obvious way, with one set of Umami credentials baked in and no authentication, turns
the URL into an open proxy to that Umami. So this server does OAuth instead, and does it without
becoming a credential store.
Use the hosted instance
Add a custom connector in Claude with this URL:
code
https://umami-mcp.asif.dev/mcp
Claude registers itself, sends you to a consent screen, and asks for your own Umami URL,
username and password. Nothing is shared with other users of the host.
Host your own
bash
UMAMI_MCP_OAUTH=true
UMAMI_MCP_TRANSPORT=http
UMAMI_MCP_ISSUER=https://mcp.example.com # public HTTPS URL of this server
UMAMI_MCP_TOKEN_KEY=<32 random bytes> # keep stable; see below
UMAMI_MCP_TOKEN_TTL=2592000 # 30 days
Set UMAMI_URL as well to pin every user to one instance instead of letting them choose.
How the credentials are handled
The consent screen verifies the credentials against the Umami instance the user named, then seals
them into the access token with AES-256-GCM. The server keeps no session table and stores no
credentials: each request decrypts the token, builds an MCP server scoped to that one user,
serves the call, and discards it.
The honest trade-off: whoever holds UMAMI_MCP_TOKEN_KEY can decrypt any token they capture.
Treat it as the most sensitive value in the deployment. Rotating it invalidates every issued
token, which is the intended blast-radius control.
Destructive tools are never exposed over OAuth, whatever permission the user picks. Their
typed-confirmation guard assumes a local operator who can see what they are about to delete, and
a remote caller cannot be shown that.
Running it as a plain HTTP service
Set UMAMI_MCP_TRANSPORT=http without UMAMI_MCP_OAUTH for a single-tenant endpoint at /mcp,
plus /health.
In this mode the server has no authentication of its own. Anyone who can reach the port can
use your Umami credentials. Keep it on loopback and tunnel to it:
The server warns at startup when it is bound to anything other than loopback.
Tools
Tool
Requires
Description
umami_list_websites
read
List the websites tracked by this Umami instance, with their UUIDs
umami_get_website
read
Fetch a single website by UUID, including its domain, owner and creation date.
umami_create_website
write
Register a new website for tracking and return its UUID, which is the value to put in the data-website-id attribute of the Umami tracking script.
umami_update_website
write
Change a website's name, domain or share slug
umami_reset_website
destructive
PERMANENTLY DELETE all collected analytics data for a website, keeping the website itself
umami_delete_website
destructive
PERMANENTLY DELETE a website and every event ever recorded for it
umami_get_tracking_snippet
read
Return the ready-to-paste HTML script tag that sends data to this Umami instance for a given website.
umami_get_stats
read
Headline totals for a website over a period: pageviews, visitors, visits, bounces and total time on site
umami_get_pageviews
read
Pageviews and sessions bucketed over time, for charting traffic
umami_get_metrics
read
Top values for one dimension, ranked by visitor count -- top pages, referrers, countries, browsers and so on
umami_get_active_visitors
read
Number of visitors active on the site in the last few minutes
umami_get_realtime
read
Live snapshot of current activity: recent events with country, URL, browser and device, plus rollups by country, URL and referrer
umami_get_event_stats
read
Totals for custom tracked events over a period: event count, unique event names, visitors and visits, with a comparison against the preceding period.
umami_list_sessions
read
Individual visitor sessions with browser, OS, device, country and region
umami_get_session_activity
read
The ordered sequence of pageviews and events for one visitor session -- their path through the site.
umami_report_utm
read
Breakdown of traffic by UTM parameters: source, medium, campaign, term and content
umami_report_funnel
read
Step-by-step conversion funnel
umami_report_retention
read
Cohort retention: of the visitors first seen on a given day, how many returned on each subsequent day.
umami_report_journey
read
Most common ordered paths visitors take through the site, as sequences of pages with a count for each.
umami_report_goal
read
Progress toward a single goal: how many visitors hit a given path or custom event.
umami_report_revenue
read
Revenue over time from events carrying a revenue property, broken down by country, region, referrer and channel
umami_report_attribution
read
Credits conversions to acquisition channels -- referrer, paid ads and UTM parameters -- under either a first-click or last-click model.
umami_list_users
admin
List Umami user accounts with their roles
umami_create_user
admin
Create a Umami user account
umami_delete_user
destructive
PERMANENTLY DELETE a user account and the websites they own
umami_list_teams
read
List teams and their members.
umami_create_team
write
Create a team so websites can be shared between users.
umami_whoami
read
Verify that this MCP server can reach the configured Umami instance and report which account it is authenticated as, plus the permission mode the server is running in
Time ranges
Every analytics tool accepts a period shorthand — 24h, 7d, 30d, 12m, today,
yesterday — instead of epoch milliseconds. Models are reliably good at "last 30 days" and
unreliably good at timestamp arithmetic, and a miscalculated epoch returns data for the wrong
window without erroring. Explicit startAt/endAt in epoch milliseconds still work and take
precedence.
Configuration
See .env.example for every option. The essentials:
Variable
Default
Purpose
UMAMI_URL
required
Your Umami instance
UMAMI_USERNAME / UMAMI_PASSWORD
Self-hosted login
UMAMI_API_KEY
Umami Cloud alternative
UMAMI_MCP_MODE
read
read / write / admin
UMAMI_MCP_ALLOW_DESTRUCTIVE
false
Unlock delete and reset
UMAMI_MCP_TRANSPORT
stdio
stdio or http
UMAMI_MCP_HOST
127.0.0.1
HTTP bind address
UMAMI_MCP_PORT
3334
HTTP port
UMAMI_MCP_ENV_FILE
Explicit path to a credentials file
Recommended setup
Create a dedicated Umami account for the MCP server rather than reusing your admin login, and
give it only the websites it needs. Then, if the credential is ever exposed, the blast radius is
one bot account you can delete — not your administrator.
Compatibility
Verified against Umami 3.3.1 (self-hosted, PostgreSQL). Umami Cloud works via UMAMI_API_KEY.
Umami v2 is not supported: the renamed metric types above mean v2 and v3 need different clients,
and this one targets v3.
Development
bash
npm install
npm run build
npm test# unit tests, no network required
test/e2e.mjs and test/write-e2e.mjs drive the built server through a real MCP client against
a live instance. The write test creates a throwaway website on a .invalid domain and deletes it
again; point it at a non-production instance.
Contributing
Issues and pull requests welcome. Umami v3 exposes around 127 API routes and this server covers
the most useful ones — session replay, heatmaps, pixels, link tracking, boards and segments are
all still unmapped. If you add tools, keep the tier and destructive flags honest, because the
whole safety model rests on them.
If the Umami team would like to adopt, fork or upstream this, please open an issue — that is the
outcome this was built for.