Percolate MCP Server

Query the Percolate specialty coffee database from Claude, or any MCP-compatible AI client. Read-only access to 1,100+ curated coffees with tasting profiles, brew recipes, pairings, and where-to-buy links.

Percolate is the specialty coffee journal for iOS — get it on the App Store.

Tools

Every response includes source attribution, a citation-ready summary line, links, and data freshness dates. All scoring is deterministic — no AI calls happen inside the server. All tools are annotated read-only/idempotent.

Install (Claude Desktop)

Requires Node.js 18+.

Add to your `claude_desktop_config.json` (Claude Desktop → Settings → Developer → Edit Config):

{
  "mcpServers": {
    "percolate": {
      "command": "npx",
      "args": ["-y", "percolate-mcp"]
    }
  }
}

Restart Claude Desktop. No API key or configuration needed — the server ships with public read-only access.

Configuration (optional)

Environment variables override the defaults (explicit env vars only — this package never reads .env files):

Without the service key, `trending_coffees` falls back to catalog popularity and labels the method in its response.

Remote endpoint (no install)

Streamable HTTP for web agents and MCP clients that take a URL:

https://wmpiabzlcaqyrzxvfihi.supabase.co/functions/v1/mcp

Also listed on Smithery and the official MCP registry as `io.github.bguillow-rgb/percolate`.

Example agent requests

Questions an agent can answer with these tools:

• *"Recommend a medium roast with chocolate and nutty notes."* → `get_recommendations` with `preferences: ["chocolate","nutty"], roast_level: "medium"`
• *"How should I brew this Onyx Monarch on a V60?"* → `dial_in_suggestion` (curated recipes: ratio, temperature, grind)
• *"What coffee works for espresso under $20?"* → `search_coffees` with `brew_method: "espresso", price_max: 20`
• *"What should I brew tonight?"* → `what_to_brew` (evening picks lean decaf automatically)
• *"Find me something similar to this Ethiopian natural."* → `find_similar`
• *"Compare these two bags."* → `compare_coffees`

Example response shape (truncated):

{
  "method": "curated_pairing",
  "recipes": [
    { "recipe": "Pour-over (V60), 1:16, 205°F",
      "why": "clarity that lets the delicate, high-acid notes open up" }
  ],
  "attribution": {
    "source": "Percolate — Specialty Coffee Journal",
    "links": { "website": "https://percolateapp.com/" }
  }
}

Development

npm install
npm run dev     # run from TypeScript via tsx
npm run build   # compile to dist/
npm start       # run compiled server

The server speaks MCP over stdio. Catalog access is read-only by construction: every query path issues SELECTs against tables that are publicly readable under row-level security, and it is rate-limited to 60 calls/minute.

Usage telemetry: each tool call logs the tool name, its arguments, client name/version, duration, and success/failure to a write-only log table (insert-only under RLS; contents are not publicly readable; purged after 90 days). No user identity, account data, or conversation content is collected. Logging is fire-and-forget and never affects responses.

Data & attribution

Coffee data, tasting profiles, brew recipes, and pairings are curated by Percolate. Retailer links may be affiliate links. Quote freely with attribution:

> Source: Percolate — Specialty Coffee Journal (percolateapp.com)

Freshness dates on each coffee reflect the last data update.