Categories › AI & Agents › Agent memory & context
Machine Relations Index (MRI) by Jaxon Parrott: the sources AI engines cite, by buyer category.
Remote server: your requests and data go to machinerelations.ai. Claude Code: claude mcp add --transport http machine-relations-index https://machinerelations.ai/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
mri_list_categories — List every Machine Relations Index category (e.g. cybersecurity, fintech, enterprise-software, ai-visibility-geo) with the question shapes tmri_get_category — Return one category's question shapes (best tools, how buyers choose, comparisons, top lists, problem-first research, is it worth it, news) mri_get_cited_sources — Ranked source domains that AI answer engines cite, pooled across engines, for one category and question shape, with citation rate (share of mri_get_domain — For one domain or URL, return how often AI answer engines cite it: overall citation rate, the rate on each engine (overall.byEngine: cited rmri_list_engines — List each answer engine with its latest-successful model metadata and historical modelPeriods (null when unavailable), the engine's observedmri_get_engine — Ranked sources one answer engine cites, by that engine's citation rate across the whole window; an engine whose collection changed inside thNot tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.