Categories › AI & Agents › Models, LLM APIs, routing, serving, training & GPUs
Search evidence-backed AI-tool reviews, rankings, use cases, comparisons & toolkits (read-only).
Remote server: your requests and data go to mcp.aidemos.com. Claude Code: claude mcp add --transport http futuresmart-ai-demos https://mcp.aidemos.com/mcp · Claude app: Settings → Connectors → Add custom connector.
The tools this server listed when we connected to it, in its own words.
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'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_personlist_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, stools_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/Urankings_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[], toolsget_tool — Full tool detail as a JSON+Markdown envelope: identity, pricing, per-feature scores, fit, FAQ, relationships (JSON) + our_take / in-depth reget_ranking — Full ranking detail as a JSON+Markdown envelope: ranked tools (rank/badge/scores), criteria, winner, breakdown (JSON) + verdicts / final takget_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_mget_evidence — Query the evidence graph: observation cells (tool × test-scenario × criterion) → verdict, score, the researcher's note, and the REAL artifaccompare_tools — Evidence-aligned comparison of two tools, honesty enforced structurally: head_to_head (cells from the SAME test input — provable same-input Not tested by KitScout yet. When our harness runs it, pros, cons and the tasks we tried appear here, with the date and evidence.