Machine Relations Index

Official4 tools

by machinerelations

Which source domains AI answer engines cite, by buyer category and question shape.

ai.machinerelations/mri Model Context Protocol (MCP) Server

The ai.machinerelations/mri MCP server provides information about which source domains AI answer engines cite. It does so by organizing citations using buyer category and question shape, based on the server description.

🛠️ Key Features

Categorizes source domains cited by AI answer engines
Breaks results down by buyer category
Breaks results down by question shape

🚀 Use Cases

Determine what source domains are cited for a given buyer category
Compare citations across different question shapes

⚡ Developer Benefits

Supports domain-level analysis of AI-citation behavior
Enables structured filtering by buyer category and question shape

⚠️ Limitations

Available details do not enumerate specific MCP tools or capabilities beyond the citation categorization described

Captured live from the server via tools/list.

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.

Parameters

No parameters.

Raw schema

{
  "type": "object",
  "properties": {},
  "additionalProperties": false
}

mri_get_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.

Parameters1

mri_get_cited_sources

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'.

Parameters5

category	string	required	Category key, e.g. cybersecurity.
question_shape	string	required	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	string	optional	Optional filter, e.g. editorial_media for publications only, vendor_owned, analyst_research, community_social.
limit	integer	optional
offset	integer	optional

Raw schema

{
  "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

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'.

Parameters1

domain

string

required

A domain (techcrunch.com) or any URL on it.

Raw schema

{
  "type": "object",
  "properties": {
    "domain": {
      "type": "string",
      "description": "A domain (techcrunch.com) or any URL on it."
    }
  },
  "required": [
    "domain"
  ],
  "additionalProperties": false
}

Install

Tools (4)

mri_list_categoriesmri_get_categorymri_get_cited_sourcesmri_get_domain

Remote endpoint

Streamable HTTP

Hosted server - connect over the network, no local install.

url

https://machinerelations.ai/mcp

Add to VS Code Add to Cursor

claude_desktop_config.json

json

{
  "mcpServers": {
    "mri": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://machinerelations.ai/mcp"
      ]
    }
  }
}

Desktop config is stdio-only; this bridges via mcp-remote. Native remote: Settings > Connectors.

ai.machinerelations/mri Model Context Protocol (MCP) Server

🛠️ Key Features

🚀 Use Cases

⚡ Developer Benefits

⚠️ Limitations

mri_list_categories

mri_get_category

mri_get_cited_sources

mri_get_domain

Install

Remote endpoint

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