amami

Overview

Amami enables users to understand website traffic trends, popular pages, referrers, and other analytics data by asking questions in natural language. It uses the Model Context Protocol (MCP) to connect analytics data to AI coding assistants, eliminating the need to switch to a dashboard. The tool supports both hosted and self-hosted deployments and keeps credentials local to the MCP client, ensuring privacy and security.

Capabilities

• ▸Integrate analytics data with AI assistants using the Model Context Protocol (MCP)
• ▸Provide natural language queries for website analytics
• ▸Embed tracking scripts into projects
• ▸Support both hosted and self-hosted deployments
• ▸Ensure privacy by keeping credentials local to the MCP client

Best for

Use Amami to analyze website traffic trends, track user behavior, understand popular pages and referrers, and verify that tracking scripts are correctly embedded and functioning. It is ideal for developers and marketers who want to integrate analytics into their AI workflows without leaving their coding environment.

Works with

Security considerations

Amami ensures privacy by keeping credentials local to the MCP client and never requiring the assistant to handle passwords or API keys. It also uses least-privilege capability tiers, ensuring that destructive actions require explicit opt-in.

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