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MCP 需 API Key 未评级 已上架

ai-readiness

Generate 18 AI readiness files (llms.txt, ai.txt, RAG indexes, schema) for any website from one URL. The AI Readiness Kit MCP server helps developers and marketers make any website accurately understood by AI systems (ChatGPT, Claude, Gemini, Perplexity, and others). Connect at https://ai.silverbackmarketing.com/api/mcp — no API key, no local install. The server exposes tools to research a site, classify its type (SaaS, e-commerce, healthcare, etc.), and generate all 18 production-ready files: llms.txt, ai.txt, llms-full.txt, ai-sitemap.xml, sitemap.md, ai-entities.json, ai-intent.json, ai-schema.json, rag-index.json, rag-index.jsonl, ai-disclosure.txt, training-data-policy.txt, .well-known/ai-plugin.json, structured-data-guide.md, manifest.json, deployment-checklist.md, README.md, and robots.txt. Typical use: "Generate AI readiness files for example.com" — the connected agent researches the domain, writes every file to a folder, and delivers a deployment-ready kit for GEO and AI search visibility.

该来源不提供完整文件导出(国内平台多为平台内托管),仅存元数据与原链
模型生成摘要(rules/v1 · 2026-10-01 12:54):Generate 18 AI readiness files (llms
这是模型对公开材料的总结,不是官方声明,请以原链内容为准。

接入信息

传输形态
http
鉴权方式
需 API Key(探测:需要鉴权(HTTP 401))
端点
https://ai-readiness--russ-xtsr.run.tools
该服务需要凭证,请按官方文档申请后替换占位符
{
  "mcpServers": {
    "ai-readiness": {
      "headers": {
        "Authorization": "Bearer \u003cYOUR_KEY\u003e"
      },
      "url": "https://ai-readiness--russ-xtsr.run.tools"
    }
  }
}

能力清单

工具说明
generate_ai_readiness_filesStart generating the 18 AI Readiness Kit files for a website. Returns the full workflow for the connected agent to execute (research, classify, write files).
list_output_filesList all 18 AI readiness files in generation order with filenames and purposes
get_file_specGet the detailed specification for one AI readiness output file (e.g. llms.txt, ai-entities.json)
get_skill_instructionsReturn the full AI Readiness skill workflow (research, classification, file generation)
get_site_classification_guideReturn the site-type classification table used before generating files
generate_rag_jsonlConvert rag-index.json content (JSON array) to rag-index.jsonl (one JSON object per line)

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