{"name":"AgentCrush MCP Server","version":"1.0.0","api_version":"v1","protocol":"MCP","protocolVersion":"2024-11-05","description":"Read-only AI agent market intelligence. Evidence-ranked across 4 category rankings: model families, tokenized agents, service agents, developer agents. Live deployment, citation, on-chain, and adoption signals.","tools":[{"name":"search_agents","description":"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."},{"name":"get_agent_details","description":"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\"."},{"name":"get_agent_history","description":"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."},{"name":"compare_agents","description":"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."},{"name":"list_categories","description":"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?"},{"name":"get_category_ranking","description":"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."},{"name":"get_methodology","description":"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."}],"endpoint":"POST https://agentcrush.xyz/api/mcp/v1","docs":"https://agentcrush.xyz/developers/mcp","rate_limit":"60 requests/minute per IP"}