Percolate

io.github.bguillow-rgb由 GitHub 账号 bguillow-rgb 发布v1.0.2更新于 Oct 24, 2026

Search the Percolate specialty coffee database: 1,100+ coffees with brew recipes and pairings.

已验证Streamable HTTP可网页运行位置与生活数据与分析

概览

AI 生成的概览

Percolate 让助手搜索精选精品咖啡目录,并获取冲煮配方、搭配、对比和推荐。

可以做什么
按类别、烘焙度、冲煮方式和价格搜索目录,并获取单款咖啡的完整记录,含风味、搭配和零售商。按风味重合度及烘焙度、醇厚度、酸度接近程度查找相似咖啡,并对两款咖啡做并排对比。根据风味偏好、预算、烘焙度和冲煮器具给出推荐,并查看热门咖啡。获取冲煮建议(粉水比、水温、研磨度),或让助手推荐此刻适合喝什么。
适用场景
适合让助手回答咖啡相关问题:挑选要买的咖啡豆、为某款豆调整冲煮参数、对比两款咖啡,或寻找与喜欢的咖啡相似的选择。
运行要求
可使用远程 streamable HTTP 端点,或在本地用 Node.js 18+ 运行 npm 包 percolate-mcp。公开只读访问无需 API 密钥或配置。可选环境变量 SUPABASE_URL 和 SUPABASE_SERVICE_ROLE_KEY 可覆盖默认值。
安装前请注意
可选的 SUPABASE_SERVICE_ROLE_KEY 标注为仅供内部使用,不得分发;未提供时热门结果会回退为目录热度。每次工具调用都会把工具名、参数、客户端名称与版本、耗时和结果写入只写日志表,保留 90 天。零售商链接可能是联盟链接。所有工具均为只读。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Percolate,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Web executable,通过 Streamable HTTP。 远程服务在工作区中配置后即可从网页运行时运行。

交给智能体安装

把这段提示词粘贴到 Claude Code、Codex、Cursor 等智能体,或 SourceWeft 对话中。智能体会读取该服务器的安装指南,先向你展示发布者、端点和登录方式,经你同意后再把它添加到你的客户端。密钥不会写进任何命令。

阅读 https://sourceweft.com/mcp/io.github.bguillow-rgb%2Fpercolate/install.md,并按其中说明把这个 MCP 服务器接入我的客户端。修改任何配置之前,先告诉我它的发布者、端点和登录方式,等我确认。不要把 API 密钥写进命令或我会提交的文件;问我密钥应从哪里获取。

查看智能体所依据的安装指南

其他 MCP 客户端

把它添加到你客户端的 mcpServers 配置中。

{
  "mcpServers": {
    "percolate": {
      "type": "http",
      "url": "https://mcp.percolateapp.com/?src=registry"
    }
  }
}

README

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

ToolWhat it does
search_coffeesCatalog search with category, roast level, brew method, and price filters
get_coffeeFull record for one coffee: roast, body/acidity/sweetness, flavors, pairings, retailers
find_similarSimilar coffees by flavor overlap and roast/body/acidity proximity
get_recommendationsPicks from flavor preferences + budget + roast + your brew gear
compare_coffeesSide-by-side: profiles, shared/distinct flavors, price delta
trending_coffeesWhat Percolate users are adding to their collections right now
dial_in_suggestionBrew guidance for a specific coffee — curated recipes (ratio, temp, grind) from the catalog, or a roast-based starting point
what_to_brewA 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):

VariablePurpose
SUPABASE_URLOverride the database URL
SUPABASE_SERVICE_ROLE_KEYInternal 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 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):

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 installnpm run dev     # run from TypeScript via tsxnpm 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.

来源:README.md,提交 ada7f3e

工具

0
SourceWeft 尚未读取此服务器的工具。

版本历史

2
  1. v1.0.2最新Sep 17, 2026
  2. v1.0.1Sep 16, 2026

评分

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