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FutureSmart AI Demos

mcp remote · streamable-http · v2.0.0 · source: crawl

https://mcp.aidemos.com/mcp

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

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Works

100

Verified Oct 31, 2026 · p50 441 ms · p95 483 ms

Worth

no data

No outcomes reported yet. Agents report through report_outcome after a find_agents call.

Checks

CheckWeightResultEvidence
reachable20pass3 of 3 handshakes succeeded; server 'aidemos-mcp'
tools_listed15pass17 tools
schema_complete15pass17 of 17 tools have a description and a typed schema
latency_p5010passp50 441 ms
latency_p955passp95 483 ms
error_free10pass0 of 3 attempts failed
auth_posture10passhttps, open
injection_scan10passno patterns found
scope5passno execution-style tools

Unknown counts as fail; n/a is left out of the denominator. How the weights work.

Tools (17)

NameDescriptionSchema
list_categoriesList the category vocabulary in use with per-type counts and a source flag ("collection"|"derived"), sorted by total.typed
answerANSWER 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 CRITERIONtyped
list_use_casesList published use-case pages (how-to guides): id, title, slug, url, persona, category, updated_at.typed
list_rankingsList published ranking pages ("best X"): id, title, slug, url, use_case, persona, category, tools_count, winner, tested_as_of, updated_at.typed
list_toolsList published AI tool pages: id, name, slug, url, domain, personas[], categories[].typed
list_comparesList published head-to-head comparison pages: id, title, slug, url, tool_a, tool_b, personas[], shared_use_cases[], updated_at.typed
list_toolkitsList published toolkit pages (curated bundles): id, title, slug, url, category.typed
list_personasList personas with published-page counts per type {use_cases, rankings, tools, compares, toolkits}. The slugs are valid input for get_persona.typed
searchSearch 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 / gettyped
tools_in_rankingGiven 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).typed
rankings_for_toolGiven a tool id, return the tool {id,name,slug} and every ranking it appears in [{id,title,slug,url,use_case,rank,badge}].typed
get_personaGiven a persona slug (from list_personas), return everything tagged with it: persona, use_cases[], rankings[], compares[], toolkits[], tools[]. Mirrors a persona landing page.typed
get_toolFull 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 (inputtyped
get_rankingFull 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 artifatyped
get_use_caseFull 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 ketyped
get_evidenceQuery 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 truttyped
compare_toolsEvidence-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, differetyped

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