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FutureSmart AI Demos

com.aidemos/catalogue · v2.0.0

Measured by MCP Station

Description written by the publisher, not verified

Search evidence-backed AI-tool reviews, rankings, use cases, comparisons & toolkits (read-only).

Connect

claude mcp add --transport http catalogue https://mcp.aidemos.com/mcp

{
  "mcpServers": {
    "catalogue": {
      "url": "https://mcp.aidemos.com/mcp"
    }
  }
}

Tools as reported by the server

• answer
  ANSWER a buyer question in ONE call: which tool is best at a specific capability, with proof. Returns the resolved verdict our testing team's evidence supports — a named winner FOR THE ASKED CRITERION, every tested tool ranked with a comparable score /5, the CONDITIONS each result holds under (e.g.
• list_use_cases
  List published use-case pages (how-to guides): id, title, slug, url, persona, category, updated_at.
• list_rankings
  List published ranking pages ("best X"): id, title, slug, url, use_case, persona, category, tools_count, winner, tested_as_of, updated_at.
• list_tools
  List published AI tool pages: id, name, slug, url, domain, personas[], categories[].
• list_compares
  List published head-to-head comparison pages: id, title, slug, url, tool_a, tool_b, personas[], shared_use_cases[], updated_at.
• list_toolkits
  List published toolkit pages (curated bundles): id, title, slug, url, category.
• list_personas
  List personas with published-page counts per type {use_cases, rankings, tools, compares, toolkits}. The slugs are valid input for get_persona.
• list_categories
  List the category vocabulary in use with per-type counts and a source flag ("collection"|"derived"), sorted by total.
• search
  Search the published catalogue across use cases, rankings, tools, comparisons, and toolkits. Returns ranked light refs [{ kind, id, title, slug, url, snippet, score, meta }] — then call get_tool / get_ranking / get_use_case for full detail. `mode`: keyword (substring), semantic (meaning, via embeddi
• tools_in_ranking
  Given a ranking id, return the ranking {id,title,slug} and its ranked tools [{id,name,slug,url,rank,badge}] (badge: Best/Usable/Needs work/Unstable/Failed).
• rankings_for_tool
  Given a tool id, return the tool {id,name,slug} and every ranking it appears in [{id,title,slug,url,use_case,rank,badge}].
• get_persona
  Given a persona slug (from list_personas), return everything tagged with it: persona, use_cases[], rankings[], compares[], toolkits[], tools[]. Mirrors a persona landing page.
• get_tool
  Full tool detail as a JSON+Markdown envelope: identity, pricing, per-feature scores, fit, FAQ, relationships (JSON) + our_take / in-depth review (Markdown). Includes `proof`: real artifact URLs (input/output screenshots, recordings) from the runs that tested it, each with the /evidence permalink for
• get_ranking
  Full ranking detail as a JSON+Markdown envelope: ranked tools (rank/badge/scores), criteria, winner, breakdown (JSON) + verdicts / final take (Markdown). Every ranked tool carries `proof`: real artifact URLs from the exact evidence run this page is bound to, each with the /evidence permalink for the
• get_use_case
  Full use-case detail as a JSON+Markdown envelope: step guide, pros/cons, FAQ, tools used (JSON) + the full narrative guide (Markdown, full_md). null if unknown. Pass `fields` to project to only the keys you need (token-efficient).
• get_evidence
  Query the evidence graph: observation cells (tool × test-scenario × criterion) → verdict, score, the researcher's note, and the REAL artifacts (input/output screenshots) that prove it. The ground truth behind every ranking — filter any combination of tool(s), scenario (slug, group tag, or name), cri
• compare_tools
  Evidence-aligned comparison of two tools, honesty enforced structurally: head_to_head (cells from the SAME test input — provable same-input comparison), related_not_same_input (same dimension, different runs — flagged), and each tool's unique evidence. Built from real observation cells with artifact

Website · JSON · Text for agents · Registry updated 2026-07-23