Machine Relations Index MCP Server

by machinerelations Your server? Claim it

answering

Machine Relations Index is answering right now. Last checked 11 min ago. It exposes 4 tools.

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

Uptime history 15 days of history · worst day 99%

15 days agonow

100.0%

Uptime 24h

91 of 91 checks

Tools

read from the server

317 ms

Response time

average over 24h

open, no key

Access

streamable-http

Nothing serious here today

Today is the operative word: we check Machine Relations Index every 15 minutes and re-read its code on every release. Watch it and you find out the day that stops being true.

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

Claude Code Claude Desktop Codex Cursor VS Code

run in your terminal

claude mcp add mri --transport http https://machinerelations.ai/mcp

~/Library/Application Support/Claude/claude_desktop_config.json

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

~/.codex/config.toml

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

.cursor/mcp.json

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

.vscode/mcp.json

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

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

mri

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). 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'.

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'.

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.

Endpoints

URL	Transport	State	Latency	Checked
https://machinerelations.ai/mcp	streamable-http	answering	269 ms	11 min ago

Alternatives to Machine Relations Index

same job, measured the same way

Peak Answer

by peakanswer

Whether AI search recommends your brand, which questions rivals win, and why engines skip your site.

answering

AI Index Network

by willians2018

Answers questions about a business using its indexed website content, with cited sources.

answering

Broadcastwell

by broadcastwell

Read how five AI engines answer your buyers' questions, who they name instead, and every receipt.

15 tools answering

AI Benchmark Index

by aibenchmarkindex

Search 264 AI benchmarks by category, with data sources and licences for each.

6 tools answering

Biel.ai

by biel

Query your product docs from AI tools. Source-cited answers from your indexed documentation.

3 tools answering

ask10ais

by ask10ais

Independent measurements of how 12 AI models answer brand questions in Chinese and English.

6 tools answering

Citely

by aicitely

Read-only GEO data: which AI assistants mention a brand and cite its domain.

answering

AI-BELARUS — Belarus business registry

by ai-belarus

Belarusian companies by UNP: state registry answers with source and sha256 for every fact.

5 tools answering

Machine Relations Index — questions

Answers built from our own checks of this server.

What can Machine Relations Index do?

It exposes 4 tools, read directly from the server on our last check. Among them: mri_get_category, mri_get_cited_sources, mri_get_domain, mri_list_categories. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →

Is Machine Relations Index working right now?

We send a real MCP handshake every 15 minutes. Over the last 24 hours 91 of 91 checks got a reply (100.0%), average response time 317 ms. The bar chart above shows every period we have measured.

How do I connect Machine Relations Index?

Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.

Does Machine Relations Index need an API key?

No. Machine Relations Index completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.

How fast is Machine Relations Index?

It answers our handshake in 317 ms on average, which is faster than 42% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.