Coffee Roaster Data
Specialty coffee roaster prices, stock, price/100g, change events and store profiles (30 roasters).
我该使用它吗
质量与安全性
B
基于对工具定义和协议合规性的自动分析。
上下文开销
~333token 数（工具定义）
~562 B典型响应大小
对注意力的影响极小（占 128k 上下文窗口的 0.26%）
这是每次将服务器的工具加载到模型上下文窗口时所消耗的大致 token 数。数值越高，可用于其他任务的注意力就越少。
安装
一键安装
将以下内容添加到你的 `claude_desktop_config.json` 文件中：
{
"mcpServers": {
"coffee-roaster-data": {
"url": "https://api.dataenrich.dev/mcp/"
}
}
}远程端点
https://api.dataenrich.dev/mcp/streamable-http它能做什么
工具清单
工具（4）
🟢 只读🟡 写入🔴 删除⚪ 未知
🟢search_products(store, available, q)
Search coffee products (one record per product+bag size) by store domain, availability and text query.
输入模式
{
"type": "object",
"properties": {
"store": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Store"
},
"available": {
"anyOf": [
{
"type": "boolean"
},
{
"type": "null"
}
],
"default": null,
"title": "Available"
},
"q": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Q"
}
},
"title": "search_productsArguments"
}🟡get_changes(since, type)
Change events (new_product, price_change, on_sale, restock, sold_out, removed) since an ISO timestamp.
输入模式
{
"type": "object",
"properties": {
"since": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Since"
},
"type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Type"
}
},
"title": "get_changesArguments"
}🟢list_stores
List tracked roaster stores with currency, product count and in-stock share.
输入模式
{
"type": "object",
"properties": {},
"title": "list_storesArguments"
}⚪store_profile(domain)
Store profile for a roaster domain: catalog size, price bands, price/100g quartiles, bag sizes, launch cadence.
输入模式
{
"type": "object",
"properties": {
"domain": {
"title": "Domain",
"type": "string"
}
},
"required": [
"domain"
],
"title": "store_profileArguments"
}社区
证据
最近观测
已验证未记录版本4 个工具