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Market intelligence for the AI agent economy: rankings, trust signals, liveness. 13 tools.
AgentCrush 是 ChatHome Skills 收录的 MCP 条目，来源为 Official MCP Registry，质量分 67/100。 作为 Model Context Protocol 服务器，它向 Claude、Cursor、Copilot 等兼容 MCP 的 LLM 客户端暴露可直接调用的工具，让 agent 的能力超出模型内置范围。 该条目由 ChatHome Skills 的每日抓取从官方 registry 和 GitHub 发现查询中收录，每次运行都会重新核验仓库事实、新鲜度信号和安装元数据。 质量分综合了官方 registry 收录情况、可用安装命令、许可证完整性、仓库活跃度和 GitHub star 趋势，完整算法说明见来源页。安装命令已列于上方，可直接复制使用。 在将 AgentCrush 加入生产 agent 工作流前，请核对上方的最近更新日期和仓库状态——下方事实快照是最近一次抓取的时点值。
mcp add io.github.kristof-sudo/agentcrush-app https://www.agentcrush.xyz/api/mcp/v1运行此命令前，请先核对上游源码。
{
"_meta": {
"io.modelcontextprotocol.registry/official": {
"status": "active",
"isLatest": true,
"updatedAt": "2026-06-12T08:22:24.7666Z",
"publishedAt": "2026-06-12T08:22:24.7666Z",
"statusChangedAt": "2026-06-12T08:22:24.7666Z"
}
},
"server": {
"name": "io.github.kristof-sudo/agentcrush-app",
"_meta": {
"io.modelcontextprotocol.registry/publisher-provided": {
"auth": "none",
"tools": [
"search_agents",
"get_agent_details",
"get_agent_history",
"compare_agents",
"list_categories",
"get_category_ranking",
"get_methodology",
"get_agent_trust",
"get_top_movers",
"get_protocol_adoption",
"get_agent_changes",
"get_ecosystem_summary"
],
"docs_url": "https://www.agentcrush.xyz/developers/mcp",
"llms_txt": "https://www.agentcrush.xyz/llms.txt",
"use_cases": [
"User asks about a specific AI agent (CrewAI, LangGraph, Qwen, Gemini, etc.) — call get_agent_details",
"User asks 'best AI agent for X' — call get_category_ranking or search_agents with category filter",
"User compares two agents — call compare_agents or retrieve the comparison page",
"User asks how a ranking is calculated — call get_methodology(category)",
"Agent needs delegation decision — call get_agent_trust for trust score + classification",
"Agent needs ecosystem-level state — call get_ecosystem_summary or get_protocol_adoption",
"User asks what changed recently — call get_top_movers or get_agent_changes"
],
"categories": [
"data",
"intelligence",
"directory",
"agent-economy",
"ai-agents"
],
"rate_limit": "60 requests/minute per IP",
"openapi_spec": "https://www.agentcrush.xyz/api/openapi.json",
"methodology_url": "https://www.agentcrush.xyz/methodology",
"discovery_manifest": "https://www.agentcrush.xyz/.well-known/mcp.json"
}
},
"title": "AgentCrush",
"$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
"remotes": [
{
"url": "https://www.agentcrush.xyz/api/mcp/v1",
"type": "streamable-http"
}
],
"version": "1.3.0",
"repository": {
"url": "https://github.com/kristof-sudo/agentcrush-app",
"source": "github"
},
"websiteUrl": "https://www.agentcrush.xyz",
"description": "Market intelligence for the AI agent economy: rankings, trust signals, liveness. 13 tools."
}
}