☕ Community-Powered Brew Intelligence

Every great cup starts with the right question.

Ever wonder how to make the best cup with what you have? Tell Brew Guide your origin, roast, and method — get the grind, temp, ratio, and timing from real community brews, plus step-by-step technique.

Try the live demo

How should I brew this?

Pick your origin, roast by sight, and brew method — get community-dialed grind, temp, and timing with step-by-step instructions for the best cup.

← back to recommend
How did it go?

Community consensus

Real people log real brews

Every logged brew — origin, method, grind, temp, ratio, and a rating — goes into the community knowledge base. Roaster guides and specialty coffee sources seed the baseline.

Consensus over averages

When you ask for a recommendation, Brew Guide computes a weighted consensus across matching brews — favouring higher-rated, field-confident entries. Confidence tiers (high / medium / low) tell you how much data exists.

Technique from the method

Every brewing method ships with method-scoped technique data: bloom timing, pour stages, preinfusion, steep parameters. The AI surfaces what's relevant to your cup.

Any AI can ask

Everything is exposed over the Model Context Protocol. Claude, Cursor, Hermes — any MCP-capable agent can query Brew Guide mid-conversation, no config beyond one URL.

One line. Any AI. Every brew question answered.

Brew Guide exposes a public MCP endpoint — no auth required. Connect it once and any agent you use can answer brew questions from your community's real experience.

🤖 Hermes Agent

Add to your local Hermes instance and brew questions work in every conversation.

hermes mcp add brew_guide \
  --url https://brew-guide-production
  .up.railway.app/mcp

💬 Claude.ai

Settings → Integrations → Add MCP Server URL. Paste the endpoint and save.

https://brew-guide-production
.up.railway.app/mcp

🖥️ Claude Desktop

Add to claude_desktop_config.json under mcpServers.

"brew-guide": {
  "type": "http",
  "url": "https://brew-guide-
  production.up.railway.app/mcp"
}
👆 Swipe for more →

The community brain keeps growing

🌱

Narrative extraction

LLM-powered parsing of roaster blog posts and forum threads into structured brew data — turning the internet's collective wisdom into searchable parameters.

🎯

Semantic origin matching

Fuzzy similarity search so "Yirgacheffe natural process" finds what "Ethiopian light" knows — and builds richer regional taste profiles over time.

📖

Opt-in brew narratives

Tasting note synthesis — the community's collective language around a cup, not just the numbers. "Tastes like blueberry jam on a Tuesday morning" as a data point.

📡

Reddit & forum pipeline

r/Coffee, Home-Barista, and specialty forums as a live feed of community brew experiments — continuously updating the consensus as techniques evolve.