stierproducts tier lists
S-to-F tier lists for 208 product categories. Every placement cited, with barcodes.
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质量与安全性
基于对工具定义和协议合规性的自动分析。
上下文开销
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": {
"tier-lists": {
"url": "https://mcp.stierproducts.com/mcp"
}
}
}远程端点
https://mcp.stierproducts.com/mcpstreamable-http它能做什么
工具清单
工具（6）
🟢list_categories(query, limit)
List the product categories that have a published tier list, newest research first. Call this first when you do not already know the exact category slug: slugs cannot be guessed reliably and every other tool takes one.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Optional filter matched against the category name and description."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 208,
"default": 50
}
}
}输出模式
{
"type": "object",
"properties": {
"source_url": {
"type": "string"
},
"license": {
"type": "object"
},
"attribution": {
"type": "string"
},
"monetization": {
"type": "object"
},
"count": {
"type": "integer"
},
"categories": {
"type": "array"
}
},
"required": [
"source_url",
"license",
"attribution",
"monetization",
"count",
"categories"
]
}🟢search_products(query, limit)
Find ranked products by name or brand across every board. Returns the slug, category and tier for each match, which is what get_product and get_tier_list need next.
输入模式
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Product or brand name, e.g. \"Bambu Lab X2D\"."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"default": 20
}
},
"required": [
"query"
]
}输出模式
{
"type": "object",
"properties": {
"source_url": {
"type": "string"
},
"license": {
"type": "object"
},
"attribution": {
"type": "string"
},
"monetization": {
"type": "object"
},
"query": {
"type": "string"
},
"matches": {
"type": "integer"
},
"products": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"tier": {
"type": "string"
},
"rank": {
"type": "integer"
},
"lp": {
"type": "number"
}
},
"required": [
"slug",
"name",
"tier",
"rank",
"lp"
]
}
}
},
"required": [
"source_url",
"license",
"attribution",
"monetization",
"query",
"matches",
"products"
]
}🟢get_tier_list(category, tier)
The full S-to-F tier list for one category: every ranked product with its tier, rank, LP, verdict, pros, cons, citation counts, GTIN barcodes and, where the maker published one, the announcement date. This is the primary tool and one call answers a "what is the best X" question completely. Call get_product for the quotes behind a placement.
输入模式
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Category slug, e.g. \"3d-printers\"."
},
"tier": {
"type": "string",
"enum": [
"S",
"A",
"B",
"C",
"D",
"F"
],
"description": "Optional. Return only this tier."
}
},
"required": [
"category"
]
}输出模式
{
"type": "object",
"properties": {
"source_url": {
"type": "string"
},
"license": {
"type": "object"
},
"attribution": {
"type": "string"
},
"monetization": {
"type": "object"
},
"category": {
"type": "object"
},
"summary": {
"type": "string"
},
"products_ranked": {
"type": "integer"
},
"method": {
"type": "string"
},
"tier_meanings": {
"type": "object"
},
"products": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"tier": {
"type": "string"
},
"rank": {
"type": "integer"
},
"lp": {
"type": "number"
}
},
"required": [
"slug",
"name",
"tier",
"rank",
"lp"
]
}
}
},
"required": [
"source_url",
"license",
"attribution",
"monetization",
"category",
"summary",
"products_ranked",
"method",
"tier_meanings",
"products"
]
}🟢get_product(slug, citation_limit, citation_offset)
Everything held on one product: its placement, verdict, pros and cons, GTIN barcodes, the announcement date where the maker published one, and a breakdown of how the cited sources read (how many were glowing, positive, neutral or negative, and whether they were outlets, named authors, video channels or forum owners). Then every citation in full, with a verbatim quote, who said it, and whether the link was fetched and confirmed. Use this when a claim needs backing up.
输入模式
{
"type": "object",
"properties": {
"slug": {
"type": "string",
"description": "Product slug, e.g. \"bambu-lab-x2d\"."
},
"citation_limit": {
"type": "integer",
"minimum": 1,
"maximum": 200,
"default": 10,
"description": "How many citations to return, most notable first. The sentiment and speaker breakdowns always count every source regardless of this."
},
"citation_offset": {
"type": "integer",
"minimum": 0,
"default": 0,
"description": "Skip this many citations. Use it to page through the rest."
}
},
"required": [
"slug"
]
}输出模式
{
"type": "object",
"properties": {
"source_url": {
"type": "string"
},
"license": {
"type": "object"
},
"attribution": {
"type": "string"
},
"monetization": {
"type": "object"
},
"product": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"tier": {
"type": "string"
},
"rank": {
"type": "integer"
},
"lp": {
"type": "number"
}
},
"required": [
"slug",
"name",
"tier",
"rank",
"lp"
]
},
"category": {
"type": "object"
},
"sentiment": {
"type": "object"
},
"speaker_mix": {
"type": "object"
},
"citations_total": {
"type": "integer"
},
"citations_shown": {
"type": "integer"
},
"citations_offset": {
"type": "integer"
},
"citations_remaining": {
"type": "integer"
},
"citations_confirmed_live": {
"type": "integer"
},
"citations": {
"type": "array"
}
},
"required": [
"source_url",
"license",
"attribution",
"monetization",
"product",
"category",
"citations_total",
"citations_shown",
"citations_offset",
"citations_remaining",
"citations_confirmed_live",
"citations"
]
}🟢compare_products(slugs)
Compare two to five products side by side. They must share a category: LP is points on one category ladder and comparing across boards is meaningless, so a mixed request is refused rather than answered misleadingly.
输入模式
{
"type": "object",
"properties": {
"slugs": {
"type": "array",
"items": {
"type": "string"
},
"minItems": 2,
"maxItems": 5,
"description": "Product slugs to compare."
}
},
"required": [
"slugs"
]
}输出模式
{
"type": "object",
"properties": {
"source_url": {
"type": "string"
},
"license": {
"type": "object"
},
"attribution": {
"type": "string"
},
"monetization": {
"type": "object"
},
"category": {
"type": "object"
},
"note": {
"type": "string"
},
"products": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"tier": {
"type": "string"
},
"rank": {
"type": "integer"
},
"lp": {
"type": "number"
}
},
"required": [
"slug",
"name",
"tier",
"rank",
"lp"
]
}
}
},
"required": [
"source_url",
"license",
"attribution",
"monetization",
"category",
"note",
"products"
]
}🟢what_to_avoid(category)
The products the research placed in the bottom tiers, and the ones it deliberately entered as traps buyers cross-shop but should not buy. Use it to answer "what should I not buy" and to check whether a product a user is considering was flagged.
输入模式
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Category slug, e.g. \"3d-printers\"."
}
},
"required": [
"category"
]
}输出模式
{
"type": "object",
"properties": {
"source_url": {
"type": "string"
},
"license": {
"type": "object"
},
"attribution": {
"type": "string"
},
"monetization": {
"type": "object"
},
"category": {
"type": "object"
},
"bottom_tier_count": {
"type": "integer"
},
"flagged_count": {
"type": "integer"
},
"products": {
"type": "array",
"items": {
"type": "object",
"properties": {
"slug": {
"type": "string"
},
"name": {
"type": "string"
},
"tier": {
"type": "string"
},
"rank": {
"type": "integer"
},
"lp": {
"type": "number"
}
},
"required": [
"slug",
"name",
"tier",
"rank",
"lp"
]
}
}
},
"required": [
"source_url",
"license",
"attribution",
"monetization",
"category",
"bottom_tier_count",
"flagged_count",
"products"
]
}社区
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