Machine Relations Index
Which source domains AI answer engines cite, by buyer category and question shape.
使うべきか
品質と安全性
検出事項（1）
- LOWTool 'mri_get_domain' description lacks action verbmri_get_domain 内
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": {
"mri": {
"url": "https://machinerelations.ai/mcp"
}
}
}リモートエンドポイント
https://machinerelations.ai/mcpstreamable-httpできること
ツール一覧
ツール（4）
🟢mri_list_categories
List every Machine Relations Index category (e.g. cybersecurity, fintech, enterprise-software, ai-visibility-geo) with the question shapes that have published citation rates, plus the source-role vocabulary. Call this first to get a valid category key.
入力スキーマ
{
"type": "object",
"properties": {},
"additionalProperties": false
}🟢mri_get_category(category)
Return one category's question shapes (best tools, how buyers choose, comparisons, top lists, problem-first research, is it worth it, news) and the evidence state of each: published with rates, collecting, or not collectable.
入力スキーマ
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Category key from mri_list_categories, e.g. cybersecurity."
}
},
"required": [
"category"
],
"additionalProperties": false
}🟢mri_get_cited_sources(category, question_shape, source_role, limit, offset)
Ranked source domains that AI answer engines cite for one category and question shape, with citation rate (share of monitored answer runs citing the domain), rank, percentile and source role (editorial publication, vendor-owned, analyst research, community, academic/government, market database, wire distribution). Use to answer 'which publications/sources does ChatGPT or Perplexity cite for <category>' or 'where should a <category> brand earn coverage to be cited by AI'.
入力スキーマ
{
"type": "object",
"properties": {
"category": {
"type": "string",
"description": "Category key, e.g. cybersecurity."
},
"question_shape": {
"type": "string",
"enum": [
"best_x",
"how_choose",
"is_x_worth",
"news_topic",
"problem_first",
"top_list",
"x_vs_y"
],
"description": "Buyer question pattern: best_x (best X tools), how_choose (how to choose), is_x_worth (is it worth it), news_topic (recent news), problem_first (how to solve a problem), top_list (top platforms), x_vs_y (A vs B)."
},
"source_role": {
"type": "string",
"description": "Optional filter, e.g. editorial_media for publications only, vendor_owned, analyst_research, community_social."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 100,
"default": 25
},
"offset": {
"type": "integer",
"minimum": 0,
"default": 0
}
},
"required": [
"category",
"question_shape"
],
"additionalProperties": false
}🟢mri_get_domain(domain)
For one domain or URL, return how often AI answer engines cite it: overall citation rate, which engines cite it, confidence tier, rank among all cited domains and within its source role, and per-category segment rates. Use to answer 'does ChatGPT/Perplexity cite <site>' or 'how authoritative is <publication> as an AI source'.
入力スキーマ
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"description": "A domain (techcrunch.com) or any URL on it."
}
},
"required": [
"domain"
],
"additionalProperties": false
}コミュニティ
エビデンス