stierproducts tier lists
S-to-F tier lists for 208 product categories. Every placement cited, with barcodes.
使うべきか
品質と安全性
ツール定義とプロトコルへの準拠に関する自動分析に基づいています。
コンテキストコスト
これは、サーバーのツールがモデルのコンテキストに読み込まれるたびに消費されるおおよそのトークン数です。数が多いほど、ほかのタスクに使える注意が減ります。
インストール
ワンクリックインストール
これを `claude_desktop_config.json` ファイルに追加してください:
{
"mcpServers": {
"tier-lists": {
"url": "https://mcp.stierproducts.com/mcp"
}
}
}リモートエンドポイント
https://mcp.stierproducts.com/mcpstreamable-httpできること
ツール一覧
ツール（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.
入力スキーマ
{
"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
}
}
}出力スキーマ
{
"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.
入力スキーマ
{
"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"
]
}出力スキーマ
{
"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.
入力スキーマ
{
"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"
]
}出力スキーマ
{
"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.
入力スキーマ
{
"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"
]
}出力スキーマ
{
"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.
入力スキーマ
{
"type": "object",
"properties": {
"slugs": {
"type": "array",
"items": {
"type": "string"
},
"minItems": 2,
"maxItems": 5,
"description": "Product slugs to compare."
}
},
"required": [
"slugs"
]
}出力スキーマ
{
"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.
入力スキーマ
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Category slug, e.g. \"3d-printers\"."
}
},
"required": [
"category"
]
}出力スキーマ
{
"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"
]
}コミュニティ
エビデンス