Overview

Amami is a privacy-focused analytics tool that embeds website traffic data directly into your AI coding assistant or editor. By using natural language prompts, users can query real-time traffic, SEO performance, and visitor insights without switching tabs to a browser dashboard. It features a lightweight script and native MCP support to provide immediate, actionable data within the developer workflow.

Founder story

Amami was launched in July 2026 to solve the problem of constant tab-switching for site analytics. The founder, a developer, built the tool to make data accessible directly within the IDE, creating an AI-first feedback loop where developers can query traffic metrics and receive actionable insights without leaving their preferred coding environment.

What it does

• • Provides real-time website traffic and visitor data directly through natural language prompts in your IDE
• • Supports native MCP (Model Context Protocol) to integrate analytics into AI agentic workflows seamlessly
• • Delivers privacy-first insights without the use of cookies, consent banners, or intrusive data tracking
• • Enables immediate SEO performance checks, including keyword rankings and click-through rates, without leaving your coding environment
• • Offers day-over-day performance comparisons and growth trend surfacing within the AI interface for faster decision-making.

Who it's for

• Software Developers
• SEO Specialists
• Content Creators
• Product Managers

Why it works

• Eliminates the friction of tab-switching between development environments and external analytics dashboards
• Privacy-first approach ensures compliance without the performance or user-experience cost of cookies and consent banners
• Lightweight footprint (<2KB script) ensures zero impact on website loading speeds or user experience
• Native AI assistant integration allows for automated agentic workflows where agents can query and act on data autonomously.

Growth strategies

• Targeting developers and AI- heavy teams who prioritize speed and workflow efficiency.
• Capitalizing on the growing adoption of AI coding assistants like Cursor and Claude.
• Leveraging MCP compatibility to position as the standard analytics layer for agentic development.
• Building community trust through a transparent, privacy- centric value proposition.

Alternatives

• Google Analytics
• Fathom Analytics
• Simple Analytics
• Plausible

Comparison overview

• vs Google Analytics: Google Analytics is a browser-based, high-latency suite with comprehensive user tracking, whereas Amami is an IDE-integrated, real-time analytics layer designed for AI-first developer workflows.