AgentCrush
Market intelligence for the AI agent economy: rankings, trust signals, liveness. 13 tools.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (3)
- HIGHTool poisoning patterns detected
- MEDIUMTool description contains URL to non-standard domainin find_agents
- LOWTool 'get_protocol_adoption' description lacks action verbin get_protocol_adoption
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": {
"agentcrush-app": {
"url": "https://www.agentcrush.xyz/api/mcp/v1"
}
}
}Remote-Endpunkte
https://www.agentcrush.xyz/api/mcp/v1streamable-httpWas es kann
Tool-Inventar
Tools (14)
🟢search_agents(query, filters)
Search AI agents by name or keyword across AgentCrush's evidence-ranked index. Returns matching agents with category, tier, and rank info. Use the `filters` object for structured constraints; future versions will add filter keys without breaking the API.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Search keyword or partial agent name (1-100 chars)."
},
"filters": {
"type": "object",
"description": "Optional structured filters.",
"properties": {
"primary_category": {
"type": "string",
"enum": [
"model_family",
"tokenized",
"service",
"developer",
"mcp_server"
],
"description": "Restrict to one of the 4 AgentCrush categories."
},
"evidence_ranked_only": {
"type": "boolean",
"description": "Only return evidence-ranked agents. Default false (include indexed too)."
},
"limit": {
"type": "number",
"description": "Max results (1-50, default 10)."
}
}
}
},
"required": [
"query"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"filters": {
"type": "object"
},
"count": {
"type": "integer",
"description": "Number of results returned."
},
"agents": {
"type": "array",
"items": {
"type": "object",
"properties": {
"handle": {
"type": "string"
},
"name": {
"type": "string"
},
"primary_category": {
"type": "string",
"enum": [
"model_family",
"tokenized",
"service",
"developer",
"mcp_server"
]
},
"secondary_categories": {
"type": "array",
"items": {
"type": "string"
}
},
"tier": {
"type": "string"
},
"archetype": {
"type": "string"
},
"ecosystem_layer": {
"type": "string"
},
"profile_url": {
"type": "string",
"format": "uri"
}
}
}
}
}
}🟢get_agent_details(handle)
Get full details for a specific AI agent including all category scores it qualifies for (model_family, tokenized, service, developer). Returns identity, raw signals, sub-scores, evidence-ready status. Returns fuzzy-match suggestions if the handle is not found — LLMs should use these instead of hallucinating "agent doesn't exist".
Eingabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string",
"description": "Agent handle slug (e.g. \"qwen\", \"crewai\", \"aixbt\"). Alphanumeric/hyphen/underscore, max 64 chars."
}
},
"required": [
"handle"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string"
},
"name": {
"type": "string"
},
"tier": {
"type": "string"
},
"archetype": {
"type": "string"
},
"primary_category": {
"type": "string",
"enum": [
"model_family",
"tokenized",
"service",
"developer",
"mcp_server"
]
},
"secondary_categories": {
"type": "array",
"items": {
"type": "string"
}
},
"verified": {
"type": "boolean"
},
"erc8004_registered": {
"type": "boolean"
},
"bio": {
"type": "string"
},
"profile_url": {
"type": "string",
"format": "uri"
},
"identity": {
"type": "object",
"description": "External identifiers (hf_author, lmarena_keys, paper_ids, virtuals_id, agentverse_id, github_full_name)."
},
"scores": {
"type": "object",
"description": "Per-category scoring data keyed by category slug."
},
"error": {
"type": "string",
"description": "Set when agent not found."
},
"suggestions": {
"type": "array",
"items": {
"type": "object"
},
"description": "Fuzzy-match suggestions when not found."
}
}
}🟢get_agent_history(handle, days)
Get rank and score history for an AI agent over the past 1–90 days. Daily snapshots, deduplicated per calendar day. Returns trend summary (rising/falling/flat). Useful for showing how an agent's standing has evolved.
Eingabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string",
"description": "Agent handle slug."
},
"days": {
"type": "number",
"description": "Days of history to return (1-90, default 30)."
}
},
"required": [
"handle"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string"
},
"name": {
"type": "string"
},
"days_requested": {
"type": "integer"
},
"snapshot_count": {
"type": "integer"
},
"history": {
"type": "array",
"items": {
"type": "object"
}
},
"summary": {
"type": "object",
"description": "rank_start, rank_current, score_start, score_current, trend (rising/falling/flat)."
}
}
}🟢compare_agents(handles)
Compare 2-5 AI agents side-by-side across all their categories. Returns full per-agent scoring data + comparison context. Use for "X vs Y" queries. AgentCrush does not declare a universal winner — comparison shows evidence differences.
Eingabe-Schema
{
"type": "object",
"properties": {
"handles": {
"type": "array",
"items": {
"type": "string"
},
"minItems": 2,
"maxItems": 5,
"description": "Array of 2-5 agent handles to compare."
}
},
"required": [
"handles"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"compare_url": {
"type": "string",
"format": "uri",
"nullable": true,
"description": "Human-readable comparison page URL (2-agent comparisons only)."
},
"agents": {
"type": "array",
"items": {
"type": "object",
"description": "Full agent details per handle."
}
}
}
}🟢list_categories
List the 5 AgentCrush agent categories with tracked + evidence-ranked counts and current methodology versions. Use this for market-level discovery — what kinds of agents does AgentCrush track and how many of each?
Eingabe-Schema
{
"type": "object",
"properties": {}
}Ausgabe-Schema
{
"type": "object",
"properties": {
"categories": {
"type": "array",
"items": {
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"model_family",
"tokenized",
"service",
"developer",
"mcp_server"
]
},
"display_name": {
"type": "string"
},
"description": {
"type": "string"
},
"methodology_version": {
"type": "string",
"description": "e.g. v1.4-with-deployment for model_family."
},
"total_tracked": {
"type": "integer"
},
"evidence_ranked": {
"type": "integer"
},
"ranking_url": {
"type": "string",
"format": "uri"
}
}
}
}
}
}🟢get_category_ranking(category, evidence_ready_only, limit)
Get the full ranking for one of the 5 categories. Returns agents ordered by composite score with all sub-scores visible. Defaults to evidence-ranked only.
Eingabe-Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"model_family",
"tokenized",
"service",
"developer",
"mcp_server"
],
"description": "Which of the 4 AgentCrush categories to rank."
},
"evidence_ready_only": {
"type": "boolean",
"description": "Filter to evidence-ranked only. Default true."
},
"limit": {
"type": "number",
"description": "Max results to return (1-100, default 50)."
}
},
"required": [
"category"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"model_family",
"tokenized",
"service",
"developer",
"mcp_server"
]
},
"methodology_version": {
"type": "string"
},
"count": {
"type": "integer"
},
"ranking": {
"type": "array",
"items": {
"type": "object",
"description": "Per-agent ranking row with sub-scores."
}
}
}
}🟢get_methodology(category)
Get the scoring methodology for one category — weights, signal sources, formulas, evidence-ready rule, and known limitations. **Methodology travels with data**: call this when explaining HOW a ranking works so the LLM can give a methodology-accurate answer instead of guessing.
Eingabe-Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"model_family",
"tokenized",
"service",
"developer",
"mcp_server"
],
"description": "Which category methodology to retrieve."
}
},
"required": [
"category"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"category": {
"type": "string",
"enum": [
"model_family",
"tokenized",
"service",
"developer",
"mcp_server"
]
},
"name": {
"type": "string"
},
"methodology_version": {
"type": "string"
},
"description": {
"type": "string"
},
"signals": {
"type": "array",
"items": {
"type": "object",
"description": "Per-signal weight + formula + note."
}
},
"evidence_ready_rule": {
"type": "string"
},
"limitations": {
"type": "array",
"items": {
"type": "string"
}
},
"methodology_url": {
"type": "string",
"format": "uri"
}
}
}🟢get_agent_trust(handle)
Single-call composite trust score (0-100) + classification (verified / provisional / unverified / low_trust) for delegation decisions. Combines confidence_tier, evidence tier, ERC-8004 verified identity, and risk flags. Mirror of GET /api/agent/{handle}/trust.
Eingabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string",
"description": "Agent handle slug."
}
},
"required": [
"handle"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string"
},
"name": {
"type": "string"
},
"trust_score": {
"type": "number",
"description": "0-100 composite score."
},
"classification": {
"type": "string",
"enum": [
"verified",
"provisional",
"unverified",
"low_trust"
]
},
"classification_thresholds": {
"type": "object"
},
"factors": {
"type": "object",
"description": "confidence_by_category, tier, risk_flags, surfaces."
},
"score_breakdown": {
"type": "array",
"items": {
"type": "object"
}
},
"delegation_hint": {
"type": "string"
}
}
}🟢verify_counterparty(handle)
THE pre-transaction question in one free call: should my agent deal with this counterparty right now? Returns proceed / caution / reject with reasoning. Liveness-aware: an agent with no public activity signal in 30+ days never gets a clean proceed, even if well-ranked. Use before paying, delegating to, or integrating any agent. Deeper analysis (full risk decomposition, history, signed attestation) is x402/Pro priced — pointers included in the response.
Eingabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string",
"description": "Counterparty agent handle slug (e.g. \"crewai\")."
}
},
"required": [
"handle"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string"
},
"name": {
"type": "string"
},
"decision": {
"type": "string",
"enum": [
"proceed",
"caution",
"reject"
]
},
"reason": {
"type": "string"
},
"trust": {
"type": "object",
"description": "score, tier, verified, rank."
},
"liveness": {
"type": "object",
"description": "alive (30d activity window), last_code_or_event_signal_at."
},
"checked_at": {
"type": "string"
},
"deeper": {
"type": "object",
"description": "Paid x402/Pro endpoints for full evaluation, history, signed attestation."
}
}
}🟢get_top_movers(direction, limit, category)
Returns the top weekly rank movers (up + down) computed from agents.weekly_delta. Useful for surfacing notable changes since last week. Default limit 10 per direction.
Eingabe-Schema
{
"type": "object",
"properties": {
"direction": {
"type": "string",
"enum": [
"up",
"down",
"both"
],
"description": "Movement direction. Default \"both\"."
},
"limit": {
"type": "number",
"description": "Max results per direction (1-25, default 10)."
},
"category": {
"type": "string",
"enum": [
"model_family",
"tokenized",
"service",
"developer",
"mcp_server"
],
"description": "Restrict to one category."
}
}
}Ausgabe-Schema
{
"type": "object",
"properties": {
"direction": {
"type": "string"
},
"up": {
"type": "array",
"items": {
"type": "object",
"properties": {
"handle": {
"type": "string"
},
"name": {
"type": "string"
},
"weekly_delta": {
"type": "number"
},
"tier": {
"type": "string"
},
"primary_category": {
"type": "string"
},
"profile_url": {
"type": "string"
}
}
}
},
"down": {
"type": "array",
"items": {
"type": "object"
}
}
}
}🟢get_protocol_adoption
How many indexed agents touch each major protocol/surface (ERC-8004 verified, Virtuals tokens, Agentverse, x402/Bazaar, HuggingFace, GitHub). Useful for ecosystem-state questions.
Eingabe-Schema
{
"type": "object",
"properties": {}
}Ausgabe-Schema
{
"type": "object",
"properties": {
"total_agents": {
"type": "integer"
},
"adoption": {
"type": "object",
"properties": {
"erc_8004_verified": {
"type": "integer"
},
"virtuals_token": {
"type": "integer"
},
"agentverse_listed": {
"type": "integer"
},
"github_mapped": {
"type": "integer"
},
"x402_bazaar_endpoint": {
"type": "integer"
}
}
},
"last_updated": {
"type": "string"
}
}
}🟢get_agent_changes(handle, since, limit)
Pairwise delta scan over an agent's recent snapshots. Reports material changes in score, rank, github_stars, follower_count, identity_type, etc. Mirror of GET /api/agent/{handle}/changes.
Eingabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string",
"description": "Agent handle slug."
},
"since": {
"type": "string",
"description": "ISO date cutoff (default 7 days ago)."
},
"limit": {
"type": "number",
"description": "Max changes to return (1-100, default 30)."
}
},
"required": [
"handle"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"handle": {
"type": "string"
},
"since": {
"type": "string"
},
"change_count": {
"type": "integer"
},
"changes": {
"type": "array",
"items": {
"type": "object"
}
}
}
}🟢get_ecosystem_summary
One-call ecosystem-level summary: counts (total, evidence-ranked, archived), category mix (model_family/tokenized/service/developer/mcp_server), category leaders, snapshot volume last 30 days. Mirror of GET /api/trends/summary.
Eingabe-Schema
{
"type": "object",
"properties": {}
}Ausgabe-Schema
{
"type": "object",
"properties": {
"summary": {
"type": "string"
},
"totals": {
"type": "object"
},
"category_mix": {
"type": "object"
},
"leaders": {
"type": "object"
},
"snapshot_window": {
"type": "object"
}
}
}🟢find_agents(q, category, rails, alive, min_tier)
Counterparty discovery: "which agents can do X and are safe to pay?" Returns the top 3 ranked candidates with liveness (30-day Ghost Index rule), trust tier, verified payment rails (x402/MCP/ERC-8004), scores, and endpoints, plus the total match count. The full ranked list (up to 50) is at https://agentcrush.xyz/api/agents/find/full — $0.05 via x402 on Base, or free with an AgentCrush Pro key.
Eingabe-Schema
{
"type": "object",
"properties": {
"q": {
"type": "string",
"description": "Capability keyword (required), e.g. \"trading\", \"wallet risk\", \"code review\"."
},
"category": {
"type": "string",
"enum": [
"model_family",
"tokenized",
"service",
"developer",
"mcp_server"
],
"description": "Restrict to one AgentCrush category."
},
"rails": {
"type": "string",
"description": "Payment rail filter, e.g. \"x402\"."
},
"alive": {
"type": "boolean",
"description": "true = only agents alive per the 30-day liveness rule."
},
"min_tier": {
"type": "string",
"enum": [
"evidence_ranked"
],
"description": "Exclude indexed-only agents."
}
},
"required": [
"q"
]
}Ausgabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string"
},
"filters": {
"type": "object"
},
"total_matches": {
"type": "integer"
},
"candidates": {
"type": "array",
"items": {
"type": "object",
"properties": {
"rank": {
"type": "integer"
},
"handle": {
"type": "string"
},
"name": {
"type": "string"
},
"primary_category": {
"type": "string"
},
"tier": {
"type": "string"
},
"verified": {
"type": "boolean"
},
"liveness": {
"type": "string",
"enum": [
"alive",
"ghost"
]
},
"payment_rails": {
"type": "array",
"items": {
"type": "object"
}
},
"scores": {
"type": "object"
},
"profile_url": {
"type": "string",
"format": "uri"
},
"trust_eval_url": {
"type": "string",
"format": "uri"
}
}
}
},
"full_results": {
"type": "object",
"description": "Pointer to the paid full-list endpoint when more matches exist."
}
}
}Community
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