# Amami Documentation

Amami is a privacy-first, AI-native web analytics platform. This documentation explains browser-based MCP authorization, client configuration, website tracking, analytics workflows, API usage, and self-hosting.

## Primary documentation

- [Documentation - Amami AI-Native Analytics Setup & Guides](https://docs.amami.dev/docs/): Complete Amami documentation - MCP setup for Cursor, Claude, Codex, quickstart guides, API reference, self-hosting, and AI growth workflows. Get started in 5 minutes.
- [Plans and usage](https://docs.amami.dev/docs/plans-and-usage/): Compare Amami Cloud plan prices, enforced limits, data retention, and published entitlement targets.
- [Codex analytics setup](https://docs.amami.dev/docs/codex/): Install Amami Skills, authorize Amami MCP in the browser, register it in Codex, and verify read-only website analytics access safely.
- [Quickstart](https://docs.amami.dev/docs/quickstart/): Install Amami MCP, authorize in the browser, and connect your first website.
- [Installation options](https://docs.amami.dev/docs/installation/): Choose Amami Cloud, MCP setup, or a self-hosted Amami-compatible deployment.
- [Cursor analytics setup](https://docs.amami.dev/docs/cursor/): Connect Cursor to Amami MCP for website analytics, complete browser authorization, configure the project server, and verify safe data access.
- [Privacy-first web analytics fundamentals](https://docs.amami.dev/docs/core-analytics/): Learn the privacy-first web analytics metrics, reports, events, and realtime signals available in Amami.
- [Claude analytics setup](https://docs.amami.dev/docs/claude-desktop/): Connect Claude Desktop or Claude Code to Amami MCP for website analytics, authorize browser access, and verify the first read-only query.
- [Tracking and events](https://docs.amami.dev/docs/tracking-events/): Add Amami tracking to a website and use events to measure growth actions.
- [Web analytics goals and conversion funnels](https://docs.amami.dev/docs/goals-funnels/): Define web analytics goals, track conversion funnel steps, and use Amami to investigate drop-off points.
- [Realtime web analytics monitoring](https://docs.amami.dev/docs/realtime-monitoring/): Monitor live web analytics during launches, campaigns, and incidents, then review unusual changes with evidence from Amami.
- [AI growth analysis](https://docs.amami.dev/docs/ai-growth/): Use Amami MCP to turn analytics data into concrete website growth recommendations.
- [Reports and insights](https://docs.amami.dev/docs/reports-insights/): Use Amami reports, segments, and AI summaries to understand website growth.
- [Website analytics for AI agents](https://docs.amami.dev/docs/other-agents/): Connect an AI agent that supports local stdio MCP using the maintained Amami setup guide and read-only defaults.
- [AI analytics assistant for website traffic](https://docs.amami.dev/docs/natural-language/): Use an AI analytics assistant for website traffic questions, with evidence-backed MCP tool results, authorized data scopes, and follow-up measurement.
- [Auto insights](https://docs.amami.dev/docs/auto-insights/): Ask an MCP client to review Amami trends, unusual changes, source shifts, and measurement opportunities with explicit evidence.
- [Teams and sharing](https://docs.amami.dev/docs/teams-sharing/): Organize websites, roles, reports, shared links, and AI access for teams using Amami.
- [AI reports](https://docs.amami.dev/docs/ai-reports/): Generate daily, weekly, monthly, launch, and funnel reports from Amami analytics.
- [MCP server for web analytics configuration](https://docs.amami.dev/docs/mcp-config/): Use the maintained Amami installation guide for browser authorization, local credentials, capability tiers, and supported client setup.
- [Web analytics API reference and authentication](https://docs.amami.dev/docs/api-reference/): Use the Amami web analytics API for authentication, website resources, metrics, errors, and backend integrations.
- [Self-hosted web analytics deployment](https://docs.amami.dev/docs/self-hosting/): Operate a self-hosted Amami-compatible web analytics instance with deployment, security, backup, and AI tradeoffs.
- [Google Analytics and GA4 migration guide](https://docs.amami.dev/docs/migration/): Migrate from Google Analytics or GA4 to privacy-minded web analytics with event mapping, parallel validation, rollback criteria, and MCP setup.
- [Security for AI website analytics access](https://docs.amami.dev/docs/security/): Review browser consent, local credentials, least privilege, data scope, and write controls before an AI agent accesses analytics.

## Machine-readable resources

- [Sitemap](https://docs.amami.dev/sitemap.xml): Canonical list of public pages.
- [Robots policy](https://docs.amami.dev/robots.txt): Crawl policy for the public documentation site.
- [Amami source repository](https://github.com/april-jk/amami): Product source, MCP server, and installation packages for Amami.