Machine Relations Index
Which source domains AI answer engines cite, by buyer category and question shape.
我该使用它吗
质量与安全性
发现（1）
- LOWTool 'mri_get_domain' description lacks action verb在 mri_get_domain 中
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": {
"mri": {
"url": "https://machinerelations.ai/mcp"
}
}
}远程端点
https://machinerelations.ai/mcpstreamable-http它能做什么
工具清单
工具（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.
输入模式
{
"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.
输入模式
{
"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'.
输入模式
{
"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'.
输入模式
{
"type": "object",
"properties": {
"domain": {
"type": "string",
"description": "A domain (techcrunch.com) or any URL on it."
}
},
"required": [
"domain"
],
"additionalProperties": false
}社区
证据