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Privacy-first analytics integrated directly into your AI assistant.
• 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.
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.
Category: AI & Automation
Team Size: 1
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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.
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.