Amami Review: Best Privacy Analytics Tool for AI-First Developers in 2026

There are roughly four serious players in the privacy-first web analytics space right now. Here's how they split: traditional tools like Google Analytics 4 still dominate because of brand recognition, but they require cookie consent banners and bury insights behind complex dashboards. Privacy-focused alternatives like Plausible and Fathom removed the consent headache but still force you to interpret charts and export CSVs manually. Then there's Amami, which takes a completely different approach by putting your analytics data directly inside AI assistants like Claude and Cursor.

Tool	Best For	Price Start	Key Differentiator
Amami	AI-native developers	$9/mo	Natural language data queries via MCP
Plausible	Privacy purists	$9/mo	Cookie-free, lightweight script
Fathom	Simple stakeholders	$14/mo	Dashboard simplicity, no login required
Google Analytics 4	Enterprise reporting	Free	Scale, integrations, audience data

I tested Amami specifically because I manage three small ecommerce sites and spend half my day in Cursor writing code. The idea of asking "which landing page converts best this month?" without leaving my IDE sounded genuinely useful. After three days of real usage across production sites, here is my honest assessment.

Score: 4 out of 5 stars

What Amami Actually Does

Amami is a privacy-first web analytics platform that integrates directly with AI assistants through the Model Context Protocol (MCP), letting you query traffic, referrers, and conversion data using natural language prompts instead of clicking through traditional dashboards. It requires no cookies, installs via a single script snippet, and works with Cursor, Claude, or any MCP-compatible agent. For developers who already live inside AI tools, it eliminates the context-switching between coding and analytics.

Head-to-Head Benchmark: Amami vs Plausible vs Google Analytics 4

Feature	Amami	Plausible	Google Analytics 4
Privacy model	Cookie-free, no consent needed	Cookie-free, no consent needed	Cookie-based, requires GDPR compliance
AI integration	Native MCP support	None	GA4 + BigQuery + Looker (complex)
Query interface	Natural language via AI assistant	Dashboard only	Dashboard + Explorations + Reports
Free tier	100K events, 5 sites, 50 MCP calls/mo	1 site, 10K pageviews/mo	Unlimited hits, 10M events/mo free
Paid tier	$9/mo for 500K events, 10 sites	$9/mo per site, unlimited pages	$150K/mo at enterprise scale
Setup time	Under 5 minutes	Under 5 minutes	Hours to days for proper config
Session recording	No	No	Yes (with consent)
Ecommerce tracking	Basic events, no enhanced ecommerce	Basic events, no enhanced ecommerce	Full enhanced ecommerce

The table makes the core trade-off obvious: Amami sacrifices session-level detail and enhanced ecommerce tracking to deliver something the other tools cannot match. When I asked Amami through Cursor, "What drove conversions on my checkout page last week?" it responded with a structured breakdown of traffic sources, unique visitors, and bounce rates. No clicks. No dropdown filters. That workflow advantage disappears completely if you need advanced ecommerce funnels or user journey mapping.

My Amami Hands-On Test

I spent three days running Amami across two live ecommerce properties: one selling physical products and one offering a SaaS trial. My goal was to replicate five common analytics questions I typically answer by logging into Google Analytics. Here is what I found.

Finding 1: The setup genuinely takes one line of code

After installing the Amami script, my sites appeared in the dashboard within minutes. The automatic site discovery feature worked without any manual configuration. Within Cursor, I ran the MCP connection command and immediately started querying data. This part delivered exactly what the marketing promised.

Finding 2: Query response quality varies significantly

Straightforward questions like "How many visitors did my homepage get yesterday?" returned accurate data within seconds. Compound queries like "Compare mobile vs desktop conversion rates for my pricing page over the last 30 days" produced vague or incomplete responses on the first attempt. I had to rephrase the question twice before getting a useful breakdown. This is not a dealbreaker, but it means you need to learn how to prompt effectively, which adds friction compared to clicking a filter in a dashboard.

Finding 3: The free tier is generous but the analytics depth is limited

The free tier offers 100K events, five websites, and 50 MCP calls daily. For a solo developer or small store owner, that covers basic monitoring without paying anything. The moment you need to track specific user segments, funnel drop-offs, or custom events beyond pageviews and conversions, you will hit walls that Amami does not yet solve. I linked this limitation to my previous testing of Graft AI tools for data — Amami works best for high-level metrics, not granular user behavior analysis.

The part that impressed me most: Asking Claude about traffic anomalies while planning content calendars. "Which blog posts drove the most referral traffic this quarter?" produced a ranked list with source breakdowns in under 10 seconds. This replaced a workflow that previously required exporting data and manually sorting in spreadsheets.

The part that annoyed me: The MCP session would occasionally time out after extended idle periods, requiring a manual reconnect. During a live debugging session with a client, this interruption broke my演示 flow and felt unprofessional. The tool needs better session persistence for professional environments.

Strengths vs Limitations

Strengths	Limitations
One-line script installation with automatic site discovery	Query responses require precise phrasing; vague prompts return incomplete data
No cookie consent banners required for GDPR compliance	No session recording or playback functionality
Direct natural language queries without leaving Cursor or Claude	Basic ecommerce tracking lacks funnel visualization and enhanced attribution
100K free events monthly with up to 50 MCP calls per day	MCP sessions timeout during extended idle periods, requiring manual reconnect
Context-aware analytics insights during code reviews and planning sessions	Cannot segment users or build custom dashboards within the tool itself

Amami vs Simple Analytics vs Fathom

Feature	Amami	Simple Analytics	Fathom
AI query interface	Native MCP with Claude, Cursor	None	None
Cookie-free operation	Yes	Yes	Yes
Dashboard export options	Via AI query results	CSV, JSON export	CSV export
Free tier site limit	5 sites	1 site	1 site
Starting paid price	$9/mo	$9/mo	$14/mo
Event attribution depth	Source, medium, referrer only	UTM parameters, referrer	UTM parameters, referrer
Target audience	Developers using AI coding tools	Privacy-conscious marketers	Small business owners

Frequently Asked Questions

Does Amami work with AI assistants other than Claude and Cursor?

Yes. Amami uses the Model Context Protocol standard, which means it is compatible with any MCP-enabled AI assistant or agent. The setup process remains the same regardless of which assistant you prefer.

How does Amami handle data retention and privacy?

Amami collects only aggregated, non-personal data. No cookies are used, and no individual user profiles are stored. This approach satisfies GDPR, CCPA, and PECR requirements without requiring consent banners on your site.

Can I migrate existing analytics data from Google Analytics to Amami?

Amami does not currently offer an import feature. Historical data remains in Google Analytics, and Amami begins collecting from the moment you install the tracking script going forward.

What happens if I exceed the free tier limits?

Once you pass 100K monthly events or 50 daily MCP calls on the free tier, Amami pauses data collection until the next month or until you upgrade. No data is lost, but new events will not be recorded until you upgrade or the limit resets.

Verdict

Amami occupies a genuine niche that no other privacy-first analytics tool currently fills. For developers and technical teams who spend their workday inside AI coding assistants, the ability to ask analytics questions without breaking focus delivers real workflow value. The one-line setup, cookie-free approach, and generous free tier make it easy to justify trying.

The product is not a replacement for Google Analytics 4 or any tool that needs granular user journey mapping. If your work involves conversion funnels, session recordings, or advanced ecommerce attribution, you will outgrow Amami quickly. The query quality inconsistency and session timeout issues also need addressing before this tool earns a place in professional client-facing workflows.

For the specific use case Amami targets: AI-native developers managing small to medium web properties who want high-level traffic insights without leaving their IDE, this product works as advertised and provides enough value to justify the cost.

3.5 out of 5 stars