Search / ai.machinerelations/mri
protogridR0· no sign-inWhich source domains AI answer engines cite, by buyer category and question shape.
v1.0.0 · active · website · descriptor JSON · versions
{
"mcpServers": {
"mri": {
"type": "http",
"url": "https://machinerelations.ai/mcp"
}
}
}claude mcp add --transport http mri https://machinerelations.ai/mcp[mcp_servers.mri]
url = "https://machinerelations.ai/mcp"
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"mri": {
"type": "remote",
"url": "https://machinerelations.ai/mcp",
"enabled": true
}
}
}{
"mcpServers": {
"mri": {
"type": "http",
"url": "https://machinerelations.ai/mcp"
}
},
"deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=mri&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vbWFjaGluZXJlbGF0aW9ucy5haS9tY3AifQ%3D%3D"
}{
"servers": {
"mri": {
"type": "http",
"url": "https://machinerelations.ai/mcp"
}
}
}{
"mcpServers": {
"mri": {
"httpUrl": "https://machinerelations.ai/mcp"
}
}
}extensions:
"mri":
enabled: true
name: "mri"
type: streamable_http
uri: "https://machinerelations.ai/mcp"
timeout: 300
protocol.modernsupports 2026-07-28 (server/discover)protocol.statelessanswers without a sessionprotocol.transportstreamable HTTPprotocol.list_ttltool list is cacheable (ttlMs 3600000)auth.prm, auth.as_metadata, auth.cimdno remote uses OAuthauth.secret_in_urlno templated URLtools.descriptionsevery tool has a descriptiontools.description_lengthdescriptions are concisetools.schemasevery tool has an object input schematools.annotations4 of 4 tools declare readOnlyHint or destructiveHinttools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHinttools.token_costabout 771 tokens to load every tooltools.api_dumptools are not a one-to-one API dumpstability.changesno tool changes in 30 daysstability.rug_pullno tool changed its meaning under the same namedeps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI packageNo tool definition changes recorded. A server's first observation is its baseline; later probes record what changes.
Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.
+dns-namespace +website +reachable +uptime-99% +updated-18d-ago -no-repository
Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.
| remote | auth | reachable | uptime 30d | p50 | protocol | last ok |
|---|---|---|---|---|---|---|
https://machinerelations.ai/mcp streamable-http | none | yes | 99% | 339 ms | 2026-07-28, 2025-11-25, 2025-06-18, 2025-03-26, 2024-11-05 | 2026-10-20 |
mri_get_categoryread-only | 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_sourcesread-only | 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_domainread-only | 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_categoriesread-only | 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. |
Schemas: list_tools.
{
"name": "ai.machinerelations/mri",
"title": "Machine Relations Index",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://machinerelations.ai/mcp",
"type": "streamable-http"
}
],
"version": "1.0.0",
"websiteUrl": "https://machinerelations.ai/machine-relations-index",
"description": "Which source domains AI answer engines cite, by buyer category and question shape."
}