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ClaudeWave

MCP server for the Percolate specialty coffee database — read-only catalog, brew recipes, and pairings for AI assistants

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ClaudeWave Trust Score
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  • Open-source license (MIT)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
  • Documented (README)
Last scanned: 8/22/2026
Install in Claude Code / Claude Desktop
Method: Manual
Claude Code CLI
git clone https://github.com/bguillow-rgb/percolate-mcp
claude_desktop_config.json (Claude Desktop)
{
  "mcpServers": {
    "percolate-mcp": {
      "command": "node",
      "args": ["/path/to/percolate-mcp/dist/index.js"]
    }
  }
}
1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
2. Replace any <placeholder> values with your API keys or paths.
3. Restart Claude. The MCP server and its tools appear automatically.
💡 Clone https://github.com/bguillow-rgb/percolate-mcp and follow its README for install instructions.
Casos de uso

Resumen de MCP Servers

# Percolate MCP Server

Query the [Percolate](https://percolateapp.com/) 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](https://apps.apple.com/us/app/percolate-specialty-coffee/id6786252100).

## Tools

| Tool | What it does |
|---|---|
| `search_coffees` | Catalog search with category, roast level, brew method, and price filters |
| `get_coffee` | Full record for one coffee: roast, body/acidity/sweetness, flavors, pairings, retailers |
| `find_similar` | Similar coffees by flavor overlap and roast/body/acidity proximity |
| `get_recommendations` | Picks from flavor preferences + budget + roast + your brew gear |
| `compare_coffees` | Side-by-side: profiles, shared/distinct flavors, price delta |
| `trending_coffees` | What Percolate users are adding to their collections right now |
| `dial_in_suggestion` | Brew guidance for a specific coffee — curated recipes (ratio, temp, grind) from the catalog, or a roast-based starting point |
| `what_to_brew` | A coffee for right now — evening picks lean decaf, mornings lean bright |

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):

```json
{
  "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):

| Variable | Purpose |
|---|---|
| `SUPABASE_URL` | Override the database URL |
| `SUPABASE_SERVICE_ROLE_KEY` | Internal use only — unlocks live 30-day collection-add trending. Never distribute this key. |

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](https://smithery.ai/servers/bguillow/percolate) and the [official MCP registry](https://registry.modelcontextprotocol.io) 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):

```json
{
  "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

```bash
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.
agent-toolsai-agentsbrewingcoffeemcpmcp-servermodel-context-protocolspecialty-coffee

Lo que la gente pregunta sobre percolate-mcp

¿Qué es bguillow-rgb/percolate-mcp?

+

bguillow-rgb/percolate-mcp es mcp servers para el ecosistema de Claude AI. MCP server for the Percolate specialty coffee database — read-only catalog, brew recipes, and pairings for AI assistants Tiene 0 estrellas en GitHub y su última actualización registrada es del 2026-08-21.

¿Cómo se instala percolate-mcp?

+

Puedes instalar percolate-mcp clonando el repositorio (https://github.com/bguillow-rgb/percolate-mcp) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.

¿Es seguro usar bguillow-rgb/percolate-mcp?

+

Nuestro agente de seguridad ha analizado bguillow-rgb/percolate-mcp y le ha asignado un Trust Score de 95/100 (tier: Verified). Revisa el desglose completo de comprobaciones superadas y flags en esta página.

¿Quién mantiene bguillow-rgb/percolate-mcp?

+

bguillow-rgb/percolate-mcp es mantenido por bguillow-rgb. La última actividad registrada en GitHub es del 2026-08-21, con 0 issues abiertos.

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