umami-analytics-mcp

umami-analytics-mcp

A security-first MCP server for Umami analytics (Cloud and self-hosted v3) enabling analytics, reporting, and administration with least privilege and credential-safe design.

Category
Visit Server

README

umami-analytics-mcp

Security-first Model Context Protocol server for Umami analytics — Umami Cloud and self-hosted (v3). Set up, analyze, report on, and (when you allow it) administer your Umami instance from any MCP client.

CI License: MIT

  • 🚀 Local-firstnpx umami-analytics-mcp, zero build step, ~2 runtime deps.
  • ☁️ Or host it — deploy to Vercel (one Web function) or run the bundled Docker HTTP server. One shared core, three transports.
  • 🔒 Credential-safe — secrets live in env only; never placed in tool arguments, outputs, or logs (two-layer redaction). Remote endpoints are bearer-gated and fail closed.
  • 🎚️ Least privilegeread-only by default; write and admin tiers are opt-in; destructive ops (delete/reset) are double-gated.
  • 📊 Comprehensive — full Umami v3 surface: stats, metrics, events, sessions, reports (funnel, retention, journey, attribution, revenue, UTM, web-vitals), segments, teams, share links, event ingestion, and self-hosted user administration.

Contents


Quickstart (local / npx)

No install required. Point your MCP client at:

npx -y umami-analytics-mcp

…with credentials supplied via environment variables. For Umami Cloud, create an API key at Dashboard → Settings → API keys and set UMAMI_API_KEY. For self-hosted, set UMAMI_API_URL + UMAMI_USERNAME + UMAMI_PASSWORD. See MCP client setup for copy-paste configs.

By default the server is read-only (32 analytics tools). Opt into writes/admin explicitly — see Capability tiers.


Configuration

All configuration is via environment variables (secrets) and optional CLI flags (non-secrets).

Variable Mode Description
UMAMI_API_KEY Cloud Umami Cloud API key (selects Cloud mode).
UMAMI_CLOUD_REGION Cloud us or eu (optional regional base URL).
UMAMI_API_URL self-hosted Instance base URL, e.g. https://stats.example.com (/api appended).
UMAMI_USERNAME / UMAMI_PASSWORD self-hosted Login credentials → bearer token (cached, auto-renewed on 401).
UMAMI_TEAM_ID both Scope website listings to a team (optional).
UMAMI_DEFAULT_TIMEZONE both IANA tz for time-series tools (default UTC).
UMAMI_ENABLE_WRITE both 1 to expose create/update + send_event tools.
UMAMI_ENABLE_ADMIN both 1 to expose user-management tools (self-hosted only).
UMAMI_ALLOW_DESTRUCTIVE both 1 — also required to expose delete/reset tools.
MCP_AUTH_TOKEN remote Shared-secret bearer required by the Vercel/HTTP endpoints.

Self-hosted instances that issue API keys can use UMAMI_API_URL + UMAMI_API_KEY instead of username/password.

Surrounding quotes are stripped from values defensively. For local use you can keep settings in a file and load them with --env-file:

npx umami-analytics-mcp --env-file .env.local

Run npx umami-analytics-mcp --help for the full flag list.


Capability tiers

The server exposes only the tools for the tiers you enable, layered on top of Umami's own role-based access (the API still enforces your account's real permissions — tiers just decide which tools are even visible).

Tier Enable with Adds Example tools
read (always on) analytics & reporting get_stats, get_metrics, report_funnel, list_sessions
write UMAMI_ENABLE_WRITE=1 mutations + ingestion create_website, send_event, add_team_member
admin UMAMI_ENABLE_ADMIN=1 (self-hosted) user administration create_user, set_user_role
destructive UMAMI_ALLOW_DESTRUCTIVE=1 (+ write/admin) delete / reset delete_website, reset_website, delete_user

Tool counts: 32 read → 46 with write → 52 with destructive → 58 at full tier on self-hosted. On Cloud the admin tier is automatically disabled (Umami Cloud has no user-admin API) and the server explains why at startup. Destructive tools carry MCP destructiveHint annotations so clients can warn before running them.


MCP client setup

Claude Desktop / Cursor (claude_desktop_config.json / .cursor/mcp.json)

{
  "mcpServers": {
    "umami": {
      "command": "npx",
      "args": ["-y", "umami-analytics-mcp"],
      "env": {
        "UMAMI_API_KEY": "your_cloud_api_key"
        // self-hosted instead:
        // "UMAMI_API_URL": "https://stats.example.com",
        // "UMAMI_USERNAME": "admin",
        // "UMAMI_PASSWORD": "••••••",
        // opt into writes:
        // "UMAMI_ENABLE_WRITE": "1"
      }
    }
  }
}

Claude Code

claude mcp add umami \
  -e UMAMI_API_KEY=your_cloud_api_key \
  -- npx -y umami-analytics-mcp

VS Code (.vscode/mcp.json)

{
  "servers": {
    "umami": {
      "type": "stdio",
      "command": "npx",
      "args": ["-y", "umami-analytics-mcp"],
      "env": { "UMAMI_API_KEY": "your_cloud_api_key" }
    }
  }
}

Remote hosting

Both remote transports require MCP_AUTH_TOKEN; without it they reject every request (fail closed). Clients authenticate with Authorization: Bearer <MCP_AUTH_TOKEN>.

Deploy to Vercel

The repo ships a single Web function at api/mcp.ts (no Next.js required).

  1. Push this repo to GitHub and Import it in Vercel.
  2. Set Environment Variables: your Umami credentials (UMAMI_API_KEY or UMAMI_API_URL+UMAMI_USERNAME+UMAMI_PASSWORD), optional tier flags, and a strong MCP_AUTH_TOKEN.
  3. Deploy. Your endpoint is https://<deployment>.vercel.app/api/mcp.
  4. Harden: enable Vercel Deployment Protection (locks preview URLs) and Firewall.

Connect a Streamable-HTTP-capable client to the URL with the bearer header. stdio-only clients bridge via:

npx mcp-remote https://<deployment>.vercel.app/api/mcp \
  --header "Authorization: Bearer $MCP_AUTH_TOKEN"

Docker / self-host

Runs the framework-free standalone HTTP server (umami-mcp-http):

docker build -t umami-mcp .
docker run --rm -p 8787:8787 \
  -e UMAMI_API_KEY=your_cloud_api_key \
  -e MCP_AUTH_TOKEN=$(openssl rand -hex 32) \
  umami-mcp
# → endpoint at http://localhost:8787/mcp  (health: /health)

Or without Docker: MCP_AUTH_TOKEN=… UMAMI_API_KEY=… npx -y umami-analytics-mcp umami-mcp-http (bin umami-mcp-http). Set HOST, PORT, optional MCP_ALLOWED_HOSTS (enables DNS-rebinding protection), or MCP_ALLOW_INSECURE=1 for localhost-only unauthenticated dev.


Security model

  • Secrets in env only. Never committed, never passed as flags, never persisted. The self-hosted bearer token is cached in memory and re-fetched on 401.
  • Never logged or echoed. A redaction layer scrubs secrets by key and by literal value from every log line, error, and tool result. get_me and user/admin responses are sanitized of token/authKey/shareToken. stdio diagnostics go to stderr only (stdout is the JSON-RPC channel).
  • Remote endpoints are auth-gated and fail closed — constant-time bearer comparison; no MCP_AUTH_TOKEN ⇒ all requests rejected.
  • Least privilege by default — read-only unless you opt in; destructive operations double-gated and annotated.
  • No third-party credential collection. Run your own instance of this server. Never point credentials at someone else's hosted MCP endpoint.

See SECURITY.md for the full threat model and disclosure policy.


Tool reference

<details open> <summary><strong>Read tier (32 — always on)</strong></summary>

list_websites · get_website · get_website_daterange · get_active_visitors · get_realtime · get_stats · get_pageviews · get_metrics · get_website_values · get_events · get_event_data · list_sessions · get_session · get_session_activity · get_session_stats · get_session_properties · report_funnel · report_retention · report_journey · report_goals · report_attribution · report_revenue · report_utm · report_breakdown · list_reports · get_report · list_segments · get_segment · list_teams · get_team · get_team_members · get_me </details>

<details> <summary><strong>Write tier (UMAMI_ENABLE_WRITE)</strong></summary>

create_website · update_website · manage_website_share · transfer_website · send_event · create_team · update_team · join_team · add_team_member · update_team_member · create_segment · update_segment · create_report · update_report

Destructive (also needs UMAMI_ALLOW_DESTRUCTIVE): delete_website · reset_website · delete_team · remove_team_member · delete_segment · delete_report </details>

<details> <summary><strong>Admin tier (UMAMI_ENABLE_ADMIN — self-hosted)</strong></summary>

list_users · get_user · create_user · update_user · set_user_role

Destructive: delete_user </details>

Every tool returns a concise text summary plus a typed structuredContent payload, and accepts flexible date ranges (range: "7d" | "today" | "this-month", or explicit startAt/endAt).


Prompts & resources

Prompts (server-side, teach correct tool-chaining): analytics_report, traffic_overview, top_pages, acquisition_channels, realtime_check, funnel_analysis, retention_analysis, audience_insights, compare_periods.

Resources: umami://websites, umami://website/{id}, umami://me (sanitized).


Development

npm install
npm run build        # tsup → dist/{cli,http,server}.js
npm test             # vitest (58 tests)
npm run typecheck    # tsc --noEmit
npm run inspect      # MCP Inspector against the stdio CLI

Architecture: a single registerAll(server, ctx) core (src/server.ts) is shared by the stdio CLI (src/bin/cli.ts), the standalone HTTP server (src/http/server.ts), and the Vercel function (api/mcp.ts) — so the tool surface never drifts between local and hosted modes. See the design spec.

License

MIT © Mateusz Siatrak

Recommended Servers

playwright-mcp

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.

Official
Featured
TypeScript
Magic Component Platform (MCP)

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.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

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.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

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.

Official
Featured
TypeScript
Kagi MCP Server

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.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

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.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured