AgentCrush

Protocol-neutral market intelligence for the AI agent economy. Multi-signal ranking of AI agents across 4 category methodologies (model families, tokenized agents, service agents, developer agents). 7 read-only tools: search, get details, get history, compare, list categories, get category ranking, get methodology. Free, no auth, 60 req/min per IP.

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接入信息

传输形态: http
鉴权方式: 鉴权未知
端点: https://agentcrush--kristof.run.tools

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{
  "mcpServers": {
    "AgentCrush": {
      "url": "https://agentcrush--kristof.run.tools"
    }
  }
}

能力清单

工具	说明
search_agents	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.
get_agent_details	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".
get_agent_history	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.
compare_agents	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.
list_categories	List the 4 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?
get_category_ranking	Get the full ranking for one of the 4 categories. Returns agents ordered by composite score with all sub-scores visible. Defaults to evidence-ranked only.
get_methodology	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.

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