stierproducts tier lists
S-to-F tier lists for 208 product categories. Every placement cited, with barcodes.
사용해야 할까요
품질 및 안전성
도구 정의와 프로토콜 준수에 대한 자동 분석을 기반으로 합니다.
컨텍스트 비용
이는 서버의 도구가 모델의 컨텍스트에 로드될 때마다 소비되는 대략적인 토큰 수입니다. 수치가 높을수록 다른 작업에 사용할 수 있는 주의가 줄어듭니다.
설치
원클릭 설치
`claude_desktop_config.json` 파일에 다음을 추가하세요:
{
"mcpServers": {
"tier-lists": {
"url": "https://mcp.stierproducts.com/mcp"
}
}
}원격 엔드포인트
https://mcp.stierproducts.com/mcpstreamable-http할 수 있는 일
도구 목록
도구 (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.
입력 스키마
{
"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
}
}
}출력 스키마
{
"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.
입력 스키마
{
"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"
]
}출력 스키마
{
"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.
입력 스키마
{
"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"
]
}출력 스키마
{
"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.
입력 스키마
{
"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"
]
}출력 스키마
{
"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.
입력 스키마
{
"type": "object",
"properties": {
"slugs": {
"type": "array",
"items": {
"type": "string"
},
"minItems": 2,
"maxItems": 5,
"description": "Product slugs to compare."
}
},
"required": [
"slugs"
]
}출력 스키마
{
"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.
입력 스키마
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Category slug, e.g. \"3d-printers\"."
}
},
"required": [
"category"
]
}출력 스키마
{
"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"
]
}커뮤니티
증거