Documentation
Last Updated: March 2026
BrewLogica supports the Model Context Protocol (MCP), allowing AI assistants to read and manage your coffee data.
Getting Started
Learn how to connect BrewLogica to your AI assistant.
MCP Quickstart
Set up in under 5 minutes with copy/paste config.
MCP Tools Reference
Complete reference for all 19 available tools.
Examples
Common workflows and use cases.
Rate Limits
Per-minute, daily, and monthly AI quota behavior.
Security & Privacy
Token authentication and data access model.
Brew Methods
Accepted method values and parameter guidance.
Changelog
Public release notes for MCP and AI updates.
Machine-Readable Resources
Use these links for LLM retrieval, crawler indexing, and markdown-first documentation access.
- /llms.txt — AI-facing index of product pages and docs
- /docs/index.md — markdown docs hub for external ingestion
- /ai — machine-readable product overview
- /sitemap-index.xml — canonical crawl map
What is MCP?
The Model Context Protocol (MCP) is an open standard that allows AI assistants to interact with external data sources and tools. BrewLogica implements MCP to let you manage your coffee data using natural language through AI assistants like Claude.
With MCP, you can ask your AI assistant to log a brew, find your favorite beans, get brewing suggestions, and more — all without leaving your coding environment.
Supported AI Clients
Claude Code
Anthropic's official CLI tool with native MCP support.
Cursor
AI-first code editor with MCP integration.
Claude Desktop
Anthropic's desktop app with MCP server support.
Any MCP Client
Works with any client implementing the MCP standard.
Quick Start
- 1
Generate an API token
Visit the tokens page to create your personal access token (Pro required).
- 2
Add to your .mcp.json
Copy the configuration snippet and add it to your MCP client.
- 3
Start using
Ask your AI assistant to interact with your BrewLogica data!