Features

An MCP analytics server for your AI assistant.

Amami gives you the essential analytics toolkit — traffic tracking, event measurement, conversion funnels, team collaboration — then adds an AI layer that turns data into evidence that you can inspect in a supported MCP client. Built for developers who want analytics close to their coding workflow.

If you are evaluating cookie-free web analytics, confirm the tracking behavior, event payloads, hosting, consent obligations, and legal basis for your own deployment before making that claim. Read the privacy and cookie-free evaluation guide alongside the setup docs.

From problem to evidence

Use analytics where you make product decisions.

Find the next fix without leaving your editor

Problem: a vibecoding developer needs to know whether a release changed traffic or conversions.

Solution: ask a supported MCP client for the page, period, referrer, and event evidence, then decide what deserves a code change.

Give marketing a question, not another dashboard

Problem: a marketing team needs a fast answer about a campaign without manually assembling several reports.

Solution: compare selected dates and sources in natural language, while keeping the metrics and filters visible for review.

Keep a self-hosted workflow under your control

Problem: a team needs a privacy-minded GA4 alternative without granting an agent unrestricted access.

Solution: use browser authorization and read-only MCP tools by default; enable writes only when a deliberate setup task requires them.

Configurable Analytics Collection

Track pageviews, referrers, campaigns, and events, then review the data your site actually sends. Your legal and consent obligations still depend on configuration, hosting, jurisdiction, and event payloads.

  • Documented tracking and custom-event setup
  • Configurable retention by plan
  • Browser authorization for hosted MCP setup
  • Self-hosting guidance for teams operating their own instance

AI-Native MCP

Connect Claude, Cursor, or Windsurf via Model Context Protocol. Query your analytics with natural language. No SQL. No dashboards. Just ask.

Asynchronous Tracking

Add the documented asynchronous tracking script, then measure its effect in your own build and Core Web Vitals instead of relying on a universal performance claim.

Full Data Ownership

Use managed cloud or follow the self-hosting guide for an Amami-compatible deployment. Self-hosting adds infrastructure, security, backup, and upgrade responsibilities.

Real-time Dashboard

Watch live visitor counts during launches, campaigns, and product releases. Spot traffic spikes and drops as they happen.

AI Layer

Analytics evidence inside your AI workflow.

Natural Language Queries

Ask "How was traffic this week?" instead of navigating dropdown menus. Your AI assistant translates questions into queries and explains the results with context.

Evidence-Backed Investigation

Ask for the date range, metrics, filters, and event evidence behind a result. Treat suggested actions as hypotheses to review, not automatic decisions.

Trend Comparison

Compare traffic patterns and recent changes across explicit date ranges. Investigate possible causes separately from observed correlations.

Custom Events & Conversions

Measure signup clicks, install completions, checkout steps, and any custom action that matters to your business. Build conversion funnels in seconds.

Agent-Guided Setup

One prompt can guide installation and browser authorization. The MCP server starts read-only; creating websites or sending events requires explicit write access.

Technical Details

Tracking Script Async loading; verify size and performance in your deployed build
Data Ownership Self-hosted, full source access, full control
API Access RESTful API + MCP server for AI integration
Privacy Configurable collection; compliance depends on implementation and jurisdiction

Ready to turn analytics into growth?

Connect your AI assistant and start querying your data in minutes. Free includes 100K events/month and 50 MCP calls/day.

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