AimRank
Read public pairwise-preference rankings and their statistical quality evidence. No API key.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (4)
- LOWin aimrank_get_ceiling
- LOWin aimrank_predict
- LOWin aimrank_healthcheck
- LOWin aimrank_discover_public_rankings
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"aimrank": {
"url": "https://app.aimrank.io/mcp/public"
}
}
}Remote-Endpunkte
https://app.aimrank.io/mcp/publicstreamable-httpWas es kann
Tool-Inventar
Tools (21)
🟢aimrank_get_daily_pair(api_key)
Fetch today's Daily Pair — the trending matchup chosen at 00:00 UTC. Pairs with the `vote_of_the_day` agent template. Returns the challenge + a fresh matchup. If the cron hasn't run yet, falls back via ok=False so the agent can use `aimrank_get_matchup` instead. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
}
},
"title": "get_daily_pairArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "get_daily_pairOutput"
}🟢aimrank_get_ranking(ranking_id, api_key)
Fetch a ranking's metadata + top 25 entities sorted by rating. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
}
},
"required": [
"ranking_id"
],
"title": "get_rankingArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "get_rankingOutput"
}🟢aimrank_get_leaderboard(ranking_id, api_key, limit)
Get the top N entities of a ranking sorted by rating. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"limit": {
"default": 10,
"title": "Limit",
"type": "integer"
}
},
"required": [
"ranking_id"
],
"title": "get_leaderboardArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "get_leaderboardOutput"
}🟢aimrank_get_matchup(ranking_id, api_key, strategy)
Get the next pair of entities to evaluate. Strategies: adaptive (default), swiss, balanced, random, uncertainty, explore, information_gain. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"strategy": {
"default": "adaptive",
"title": "Strategy",
"type": "string"
}
},
"required": [
"ranking_id"
],
"title": "get_matchupArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "get_matchupOutput"
}🟢aimrank_search_entities(ranking_id, query, api_key, limit)
Find entities by name substring within a ranking. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"query": {
"title": "Query",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"limit": {
"default": 20,
"title": "Limit",
"type": "integer"
}
},
"required": [
"ranking_id",
"query"
],
"title": "search_entitiesArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "search_entitiesOutput"
}🟢aimrank_create_share_card(ranking_id, api_key, format)
Return share-ready URLs + embed snippets for a ranking. Formats: "all" (default — everything), "twitter", "linkedin", "embed_leaderboard", "embed_vote", "badge_markdown", "qr_code", "data_card". Pass these to a human to paste into a tweet, blog, Notion page, or Slack message. The OG image renders automatically when the public_url is unfurled by Twitter / LinkedIn / Slack. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"format": {
"default": "all",
"title": "Format",
"type": "string"
}
},
"required": [
"ranking_id"
],
"title": "create_share_cardArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "create_share_cardOutput"
}🟢aimrank_predict_matchup_winner(ranking_id, entity_a_id, entity_b_id, api_key)
Predict the winner of a matchup BEFORE a vote is cast. Uses Glicko-2 win probability under the same formula matchmaking uses internally. Pairs with aimrank_submit_vote for the "Claude predicts, you vote, we compare" demo. Does not record a vote — read-only. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"entity_a_id": {
"title": "Entity A Id",
"type": "string"
},
"entity_b_id": {
"title": "Entity B Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
}
},
"required": [
"ranking_id",
"entity_a_id",
"entity_b_id"
],
"title": "predict_matchup_winnerArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "predict_matchup_winnerOutput"
}🟢aimrank_discover_public_rankings(api_key, category, media_type, sort, limit)
Browse public rankings — agent equivalent of surfing aimrank.io. Filters: category, media_type ("text" | "image" | "audio" | "video"), sort ("trending" | "recent" | "most_votes" | "random"), limit 1-50. Each result embeds share assets so the agent can hand any ranking back to the user as a clickable link without a follow-up call. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"category": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Category"
},
"media_type": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Media Type"
},
"sort": {
"default": "trending",
"title": "Sort",
"type": "string"
},
"limit": {
"default": 10,
"title": "Limit",
"type": "integer"
}
},
"title": "discover_public_rankingsArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "discover_public_rankingsOutput"
}🟢aimrank_list_domain_entities(domain_id, api_key)
List all entities in a domain's pool sorted by rating. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"domain_id": {
"title": "Domain Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
}
},
"required": [
"domain_id"
],
"title": "list_domain_entitiesArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "list_domain_entitiesOutput"
}🟢aimrank_get_domain(domain_id, api_key)
Get domain details including entity pool and competition list. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"domain_id": {
"title": "Domain Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
}
},
"required": [
"domain_id"
],
"title": "get_domainArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "get_domainOutput"
}🟢aimrank_list_competitions(domain_id, api_key)
List all competitions (open voting + brackets) in a domain. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"domain_id": {
"title": "Domain Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
}
},
"required": [
"domain_id"
],
"title": "list_competitionsArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "list_competitionsOutput"
}🟢aimrank_get_data_card(ranking_id, api_key, format)
Auto data card — Layer 7. Provenance + IAA + coverage + per-annotator quality + transitivity + qualification stats in one synthesized markdown audit artefact. Format: 'markdown' (default) or 'json' for structured summary. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"format": {
"default": "markdown",
"title": "Format",
"type": "string"
}
},
"required": [
"ranking_id"
],
"title": "get_data_cardArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "get_data_cardOutput"
}🟢aimrank_get_agreement(ranking_id, api_key, min_raters)
Inter-annotator agreement — Layer 5. Returns Cohen's κ (n=2 raters), Fleiss' κ, Krippendorff's α, Scott's π + Landis-Koch interpretation, plus the multi-rater coverage report. `min_raters` overrides the ranking's configured min_raters_per_pair. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"min_raters": {
"anyOf": [
{
"type": "integer"
},
{
"type": "null"
}
],
"default": null,
"title": "Min Raters"
}
},
"required": [
"ranking_id"
],
"title": "get_agreementArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "get_agreementOutput"
}🟢aimrank_get_ceiling(ranking_id, api_key, min_overlapping_items)
Pairwise-κ ceiling from qualification attempts. The upper bound any judge / RM can credibly hit on this domain — used to pin the L3 pilot refund clause (refund if κ < ceiling - 5pp). api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"min_overlapping_items": {
"default": 20,
"title": "Min Overlapping Items",
"type": "integer"
}
},
"required": [
"ranking_id"
],
"title": "get_ceilingArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "get_ceilingOutput"
}🟢aimrank_get_plackett_luce(ranking_id, api_key, min_appearances_per_entity, max_iterations)
Plackett-Luce listwise ranking aggregation — OFFLINE AUDIT ONLY. Reported post-hoc; it NEVER writes ratings, and setting it as a ranking's algorithm returns 400. AimRank has 6 rating engines plus 2 offline aggregators (this and CrowdBT) — never describe it as an 8th rating algorithm. Generalises Bradley-Terry to ranked lists. On pairwise data, collapses to BT MLE — useful as a second-opinion aggregator. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"min_appearances_per_entity": {
"default": 2,
"title": "Min Appearances Per Entity",
"type": "integer"
},
"max_iterations": {
"default": 300,
"title": "Max Iterations",
"type": "integer"
}
},
"required": [
"ranking_id"
],
"title": "get_plackett_luceArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "get_plackett_luceOutput"
}🟢aimrank_get_crowd_bt(ranking_id, api_key, min_votes_per_annotator, min_votes_per_entity, max_iterations)
CrowdBT — joint fit of entity scores + per-annotator reliability η. Surfaces noisy / anti-correlated raters explicitly. Methodology audit, not a live engine. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"min_votes_per_annotator": {
"default": 5,
"title": "Min Votes Per Annotator",
"type": "integer"
},
"min_votes_per_entity": {
"default": 2,
"title": "Min Votes Per Entity",
"type": "integer"
},
"max_iterations": {
"default": 300,
"title": "Max Iterations",
"type": "integer"
}
},
"required": [
"ranking_id"
],
"title": "get_crowd_btArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "get_crowd_btOutput"
}🟢aimrank_list_public_judges(api_key, category, domain_id, sort, limit)
Browse public judge-prompt artifacts shared by other users. Filter by ``category`` (free-text), ``domain_id``, or both. Sort options: ``fork_count`` (default — most-forked first), ``recent``, ``faithfulness``. Returns artifact summaries WITHOUT the full prompt text — call `aimrank_fork_judge_prompt` or the REST GET to retrieve the full prompt before using it. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"category": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Category"
},
"domain_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Domain Id"
},
"sort": {
"default": "fork_count",
"title": "Sort",
"type": "string"
},
"limit": {
"default": 25,
"title": "Limit",
"type": "integer"
}
},
"title": "list_public_judges_toolArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "list_public_judges_toolOutput"
}🟢aimrank_find_similar_domains(api_key, query, domain_id, limit, min_score)
Find public domains most similar to a query or a known domain. Use ``query`` for free-text search ("pharma evaluation") OR ``domain_id`` to find domains similar to one you already know. Exactly one must be provided. TF-IDF + cosine similarity over name + description + category + declared constitution + objectives text. Cheap (no embedding API calls), 5-minute in-process cache. Only public domains are searched / returned. Score in [0, 1] — typical "useful match" threshold is ≥0.15; "near duplicate" is ≥0.5. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
},
"query": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Query"
},
"domain_id": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Domain Id"
},
"limit": {
"default": 10,
"title": "Limit",
"type": "integer"
},
"min_score": {
"default": 0.05,
"title": "Min Score",
"type": "number"
}
},
"title": "find_similar_domains_toolArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "find_similar_domains_toolOutput"
}🟢aimrank_predict(ranking_id, entity_a_id, entity_b_id, api_key)
iCOMPLY contract: pairwise prediction with provenance fields. Returns the engine's predicted winner + probability shaped so iCOMPLY's Annex IV section-4 generator can ingest the response directly. See [iCOMPLY_INTEGRATION_STRATEGY.md] for the contract. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"entity_a_id": {
"title": "Entity A Id",
"type": "string"
},
"entity_b_id": {
"title": "Entity B Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
}
},
"required": [
"ranking_id",
"entity_a_id",
"entity_b_id"
],
"title": "icomply_predictArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "icomply_predictOutput"
}🟢aimrank_explain(ranking_id, entity_a_id, entity_b_id, api_key)
iCOMPLY contract: explain a prediction in features + narrative. Returns the Glicko-2 μ/φ inputs for both entities + a deterministic narrative. No LLM-synthesised rationale — these are the actual numbers the math uses, which is exactly what an Annex IV auditor needs to trace. api_key is optional on the public endpoint; on /mcp/mcp a missing key is refused.
Eingabe-Schema
{
"type": "object",
"properties": {
"ranking_id": {
"title": "Ranking Id",
"type": "string"
},
"entity_a_id": {
"title": "Entity A Id",
"type": "string"
},
"entity_b_id": {
"title": "Entity B Id",
"type": "string"
},
"api_key": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"default": null,
"title": "Api Key"
}
},
"required": [
"ranking_id",
"entity_a_id",
"entity_b_id"
],
"title": "icomply_explainArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "icomply_explainOutput"
}🟢aimrank_healthcheck
iCOMPLY contract: liveness + DB-connectivity probe.
Eingabe-Schema
{
"type": "object",
"properties": {},
"title": "icomply_healthcheckArguments"
}Ausgabe-Schema
{
"type": "object",
"properties": {
"result": {
"additionalProperties": true,
"title": "Result",
"type": "object"
}
},
"required": [
"result"
],
"title": "icomply_healthcheckOutput"
}Community
Nachweis