INDIVIDUAL MCP TOOL

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.

machinerelations.ainone authenticationAvailability not checked

LIVE ENDPOINT

https://machinerelations.ai/mcp

No auth detected

Connect to this endpoint to inspect the live schema for mri_get_domain and invoke it with your own arguments.

Indexed input schema

{}

Risk classification

Inferred read-only · medium confidence · heuristic, not a guarantee.

A tool name or description suggests retrieving external content.

Parent server

machinerelations.ai

CONNECT WITH APPROVAL

Client installation

Review this server and its permissions before adding it. Secret placeholders must be set locally.

Codex

~/.codex/config.toml

[mcp_servers.machinerelations-mri]
url = "https://machinerelations.ai/mcp"
enabled = true

Claude Code

.mcp.json

{
  "mcpServers": {
    "machinerelations-mri": {
      "type": "http",
      "url": "https://machinerelations.ai/mcp"
    }
  }
}

Claude Desktop

Settings → Connectors → Add custom connector

Name: machinerelations-mri
Remote MCP URL: https://machinerelations.ai/mcp

Add this remote URL as a custom connector in Claude Desktop. Availability depends on the user plan and workspace policy.

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "machinerelations-mri": {
      "url": "https://machinerelations.ai/mcp"
    }
  }
}

Visual Studio Code

.vscode/mcp.json

Add to Visual Studio Code

{
  "servers": {
    "machinerelations-mri": {
      "type": "http",
      "url": "https://machinerelations.ai/mcp"
    }
  }
}

Generic MCP

Client-specific MCP configuration

{
  "name": "machinerelations-mri",
  "transport": "streamable-http",
  "url": "https://machinerelations.ai/mcp"
}

MCP Inspector

Run the official MCP Inspector locally and enter the indexed Streamable HTTP endpoint.

Related tools

mri_list_categories — List every Machine Relations Index category (e.
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.
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).