# Documentation - BrewLogica

Last Updated: March 2026

BrewLogica supports the Model Context Protocol (MCP), allowing AI assistants to read and manage your coffee data.

## Start Here

- [Getting Started](https://brewlogica.app/docs/getting-started): Connect BrewLogica to your AI assistant.
- [MCP Quickstart](https://brewlogica.app/docs/mcp-quickstart): 5-minute setup with copy/paste config.
- [MCP Tools Reference](https://brewlogica.app/docs/tools): Complete reference for all 19 tools.

## More Guides

- [Examples](https://brewlogica.app/docs/examples): Real-world prompts and outputs.
- [Rate Limits](https://brewlogica.app/docs/rate-limits): Request, daily, and AI quota limits.
- [Security & Privacy](https://brewlogica.app/docs/security): Token model, data scope, and safety practices.
- [Brew Methods](https://brewlogica.app/docs/brew-methods): Supported brew methods and MCP values.
- [Changelog](https://brewlogica.app/docs/changelog): Public release notes.

## Machine-Readable Resources

- [llms.txt](https://brewlogica.app/llms.txt): AI-facing index of key product and documentation pages.
- [Docs Index (Markdown)](https://brewlogica.app/docs/index.md): Markdown docs hub for external ingestion.
- [AI Product Overview](https://brewlogica.app/ai): Machine-readable product and capability summary.
- [Sitemap Index](https://brewlogica.app/sitemap-index.xml): Canonical crawl map for search engines.

## Quick Start Checklist

1. Generate an API token at [https://brewlogica.app/tokens](https://brewlogica.app/tokens) (Pro required).
2. Add the token to your MCP client configuration.
3. Ask your AI assistant to list beans or log a brew.