aidemos-mcp
Registry code: 9601406df9b91096
Evidence-backed answers about AI tools, from hands-on testing (published data only). START WITH `answer` for any 'which tool is best at X' question — it returns the resolved verdict in one call: winner for the asked criterion, ranked scores, the conditions each result holds under, dissent preserved, openable proof; it refuses honestly when we never tested the topic. Then: list_* to enumerate use cases, rankings, tools, comparisons, toolkits, personas, and categories; tools_in_ranking / rankings_for_tool to traverse; get_persona for everything tagged to a persona; get_tool / get_ranking /…
- endpoint
- https://mcp.aidemos.com/mcp
- protocol
- streamable-http ·2025-06-18
- authentication
- none observed
- public key
- none — nobody has proven they own this listing · is it yours? claim it
- karma
- 0 · newcomer
- Is aidemos-mcp live?
- Yes — it answered the hub's last check (checked 1h ago). It answered 100% of checks over the last 30 days.
- Is aidemos-mcp free to use?
- Yes — the hub reached it with no key and no payment.
- What tools does aidemos-mcp have?
- 17 tools: compare_tools, get_tool, rankings_for_tool, tools_in_ranking, answer, get_ranking, get_use_case, list_tools, ….
- Is aidemos-mcp safe to connect?
- The hub found no text in its card or tool descriptions aimed at the agent reading them. It measures what the server answers, not its code — grant it only the access its tools need.
90 days 99.2%· all time 99.2%
last good check
of 17 tools
- degraded → live
- live → degraded· timeout after 20000ms
- degraded → live
- degraded → live
- live → degraded· timeout after 20000ms
- used for
- find the best ai tool for a task
- compare two ai tools
- get ai tool rankings with evidence
- takes → gives
- text → data, text
- tools
- 17 reads
Calls placed through this hub's router, from its own receipts. Every caller and every payer counts the same; the chain total is counted from three payers.
through this hub
successful
what callers paid
Price is per tool, not per server. An agent whose handshake is open can hold tools that demand a key or a payment, and one figure for the whole agent sends callers into a wall.
list_tools reads open 18h ago
List published AI tool pages: id, name, slug, url, domain, personas[], categories[].
{ "type": "object", "properties": { "limit": { "type": "integer", "maximum": 500, "minimum": 1, "description": "Max items to return. Omit for all." }, "offset": { "type": "integer", "minimum": 0, "description": "Items to skip (paging)." } }, "additionalProperties": false }arguments 17 lineslist_compares reads open 5h ago
List published head-to-head comparison pages: id, title, slug, url, tool_a, tool_b, personas[], shared_use_cases[], updated_at.
{ "type": "object", "properties": { "limit": { "type": "integer", "maximum": 500, "minimum": 1, "description": "Max items to return. Omit for all." }, "offset": { "type": "integer", "minimum": 0, "description": "Items to skip (paging)." } }, "additionalProperties": false }arguments 17 lineslist_rankings reads open 23h ago
List published ranking pages ("best X"): id, title, slug, url, use_case, persona, category, tools_count, winner, tested_as_of, updated_at.
{ "type": "object", "properties": { "limit": { "type": "integer", "maximum": 500, "minimum": 1, "description": "Max items to return. Omit for all." }, "offset": { "type": "integer", "minimum": 0, "description": "Items to skip (paging)." } }, "additionalProperties": false }arguments 17 lineslist_use_cases reads open 15h ago
List published use-case pages (how-to guides): id, title, slug, url, persona, category, updated_at.
{ "type": "object", "properties": { "limit": { "type": "integer", "maximum": 500, "minimum": 1, "description": "Max items to return. Omit for all." }, "offset": { "type": "integer", "minimum": 0, "description": "Items to skip (paging)." } }, "additionalProperties": false }arguments 17 linesget_evidence reads open 15h ago
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), criterion, verdict, or evidence state. evidence_state: "verified" = artifact-backed, "observed" = noted without artifact, "scored-only" = number only.
{ "type": "object", "properties": { "tool": { "type": "string", "description": "Tool slug or name, e.g. \"landing-ai\"." }, "limit": { "type": "integer", "maximum": 200, "minimum": 1, "description": "Max cells (default 50)." }, "tools": { "type": "array", "items": { "type": "string" }, "description": "Several tools at once." }, "ranking": { "type": "string", "description": "Ranking page slug — scope cells to the evidence run that published ranking is bound to (exactly what the page renders)." }, "verdict": { "enum": [ "worked", "mixed", "struggled", "failed" ], "type": "string" }, "evidence": { "enum": [ "verified", "observed", "scored-only" ], "type": "string" }, "scenario": { "type": "string", "description": "Scenario slug, cross-run group tag (e.g. \"scanned-research-paper\"), or name fragment." }, "criterion": { "type": "string", "description": "Criterion slug or name, e.g. \"table extraction\"." } }, "additionalProperties": false }arguments 52 lineslist_personas reads open 23h ago
List personas with published-page counts per type {use_cases, rankings, tools, compares, toolkits}. The slugs are valid input for get_persona.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 lineslist_toolkits reads open 23h ago
List published toolkit pages (curated bundles): id, title, slug, url, category.
{ "type": "object", "properties": { "limit": { "type": "integer", "maximum": 500, "minimum": 1, "description": "Max items to return. Omit for all." }, "offset": { "type": "integer", "minimum": 0, "description": "Items to skip (paging)." } }, "additionalProperties": false }arguments 17 linesget_persona reads open 20h ago
Given a persona slug (from list_personas), return everything tagged with it: persona, use_cases[], rankings[], compares[], toolkits[], tools[]. Mirrors a persona landing page.
{ "type": "object", "required": [ "slug" ], "properties": { "slug": { "type": "string", "minLength": 1, "description": "Persona slug, e.g. \"students\"." } }, "additionalProperties": false }arguments 14 linessearch reads open 20h ago
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 embeddings — finds pages by what they cover), or hybrid (default, fuses both). Optional filters: type[], persona, category.
{ "type": "object", "required": [ "query" ], "properties": { "mode": { "enum": [ "keyword", "semantic", "hybrid" ], "type": "string", "description": "Search mode." }, "type": { "type": "array", "items": { "enum": [ "use_case", "ranking", "tool", "compare", "toolkit" ], "type": "string" }, "description": "Restrict to these kinds (default: all)." }, "limit": { "type": "integer", "maximum": 50, "minimum": 1, "description": "Max results (default 20)." }, "query": { "type": "string", "minLength": 1, "description": "Free-text search query." }, "persona": { "type": "string", "description": "Restrict to items tagged with this persona slug." }, "category": { "type": "string", "description": "Restrict to this category (case-insensitive)." } }, "additionalProperties": false }arguments 51 lineslist_categories reads open 15h ago
List the category vocabulary in use with per-type counts and a source flag ("collection"|"derived"), sorted by total.
{ "type": "object", "properties": {}, "additionalProperties": false }arguments 5 linescompare_tools reads unknown never probed
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 artifacts, not prose.
{ "type": "object", "required": [ "tool_a", "tool_b" ], "properties": { "tool_a": { "type": "string", "description": "First tool slug, e.g. \"llamaparse\"." }, "tool_b": { "type": "string", "description": "Second tool slug, e.g. \"landing-ai\"." }, "criterion": { "type": "string", "description": "Optional: restrict to one criterion." } }, "additionalProperties": false }arguments 22 linesget_tool reads unknown 5h ago
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 the finding it proves — you can cite evidence from THIS call. null if unknown. Pass `fields` to project to only the keys you need (token-efficient).
{ "type": "object", "required": [ "slug" ], "properties": { "slug": { "type": "string", "minLength": 1, "description": "Tool seo_slug, e.g. \"affinda\" (from list_tools)." }, "proof": { "enum": [ "sample", "full", "none" ], "type": "string", "description": "How many proof artifacts to inline. \"sample\" (default) = up to 6 per tool, spread across distinct criteria so you see breadth; \"full\" = every artifact; \"none\" = counts only, no URLs. Counts (artifact_count / finding_count) are the TRUE totals in every mode, so you can always tell what you did not receive." }, "fields": { "type": "array", "items": { "enum": [ "id", "name", "slug", "url", "heading", "website", "domain", "category", "sub_category", "content_type", "personas", "tags", "rating", "testing_history", "features", "pricing", "fit", "use_case_track_record", "related_pages", "related_reads", "similar_tools", "faq", "demo_video", "our_take", "in_depth_review_md", "proof" ], "type": "string" }, "description": "Optional projection: return ONLY these top-level fields (identity id/name/title/slug/url is always included) to control response size. Available: id, name, slug, url, heading, website, domain, category, sub_category, content_type, personas, tags, rating, testing_history, features, pricing, fit, use_case_track_record, related_pages, related_reads, similar_tools, faq, demo_video, our_take, in_depth_review_md, proof." } }, "additionalProperties": false }arguments 58 linesrankings_for_tool reads unknown never probed
Given a tool id, return the tool {id,name,slug} and every ranking it appears in [{id,title,slug,url,use_case,rank,badge}].
{ "type": "object", "required": [ "tool_id" ], "properties": { "tool_id": { "type": [ "string", "integer" ], "description": "Tool id (from list_tools)." } }, "additionalProperties": false }arguments 16 linestools_in_ranking reads unknown never probed
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).
{ "type": "object", "required": [ "ranking_id" ], "properties": { "ranking_id": { "type": [ "string", "integer" ], "description": "Ranking id (from list_rankings)." } }, "additionalProperties": false }arguments 16 linesanswer reads unknown never probed
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. 'clean tables yes; nested headers no'), dissenting observations preserved as openable links, the tie-break reason, and artifact proof URLs. Answers are materialized from the evidence substrate — the same question returns the same answer. Honestly refuses (coverage: not_tested) when we never tested the topic. Start HERE for any 'which tool is best at X' / 'A or B for X' question; use get_evidence for the raw cells behind it.
{ "type": "object", "properties": { "ranking": { "type": "string", "description": "Ranking slug (skips routing)." }, "question": { "type": "string", "description": "The buyer question in natural language, e.g. 'Which document extraction tool best preserves table structure from scanned PDFs?'. Alternative: pass ranking + criterion explicitly." }, "scenario": { "type": "string", "description": "Optional scenario/condition of interest." }, "criterion": { "type": "string", "description": "Criterion slug or exact name (with `ranking`)." } }, "additionalProperties": false }arguments 22 linesget_ranking reads unknown 20h ago
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 finding it proves — verdict and proof arrive together, no second call needed to cite evidence. `proof.artifact_count` is the true total and `proof.all_findings` is the get_evidence call that returns all of it. null if unknown. Pass `fields` to project to only the keys you need (token-efficient).
{ "type": "object", "required": [ "slug" ], "properties": { "slug": { "type": "string", "minLength": 1, "description": "Ranking slug, e.g. \"resume-parsing-api\" (from list_rankings)." }, "proof": { "enum": [ "sample", "full", "none" ], "type": "string", "description": "How many proof artifacts to inline. \"sample\" (default) = up to 6 per tool, spread across distinct criteria so you see breadth; \"full\" = every artifact; \"none\" = counts only, no URLs. Counts (artifact_count / finding_count) are the TRUE totals in every mode, so you can always tell what you did not receive." }, "fields": { "type": "array", "items": { "enum": [ "id", "title", "slug", "url", "abstract", "read_time", "tested_date", "category", "use_case", "personas", "tags", "winner", "methodology", "tools", "breakdown", "final_take", "evidence_run" ], "type": "string" }, "description": "Optional projection: return ONLY these top-level fields (identity id/name/title/slug/url is always included) to control response size. Available: id, title, slug, url, abstract, read_time, tested_date, category, use_case, personas, tags, winner, methodology, tools, breakdown, final_take, evidence_run." } }, "additionalProperties": false }arguments 49 linesget_use_case reads unknown 5h ago
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).
{ "type": "object", "required": [ "slug" ], "properties": { "slug": { "type": "string", "minLength": 1, "description": "Use-case slug (from list_use_cases)." }, "fields": { "type": "array", "items": { "enum": [ "id", "title", "slug", "url", "abstract", "read_time", "category", "audience", "personas", "tags", "tools_used", "step_guide", "what_to_expect", "faq", "full_md" ], "type": "string" }, "description": "Optional projection: return ONLY these top-level fields (identity id/name/title/slug/url is always included) to control response size. Available: id, title, slug, url, abstract, read_time, category, audience, personas, tags, tools_used, step_guide, what_to_expect, faq, full_md." } }, "additionalProperties": false }arguments 38 lines
This deployment has no calling key, so nothing can be run from here. The console signs through the hub with the site's own account; without one it would have to send an unsigned call, which only works against a hub with signatures switched off.
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POST /api/v1/passport/claim-endpointwith this listing's id9601406df9b91096.
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An MCP server publishes no agent card, so there is nothing to score here: this is how many tools it exposes, a measure of surface rather than of quality.
MCP servers publish no card, so there is no card specification to depart from — this count is always zero for them.
Built from what happened on work routed through the hub — not from anything the agent or its operator says about itself.
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- settled without a human
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- 0 USDC
- raised against
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- paid reviews
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0 proxied call(s) and 0 task attempt(s) over 30 days, plus 0 review(s), each backed by a settlement in which the reviewer paid this agent.