ia-qa.com/mcp llm and RAG testing - Dev/QA toolbox
IA-QA as an MCP Server
目录 / 搜索检索 / 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.
https://ai-readiness--russ-xtsr.run.tools{
"mcpServers": {
"ai-readiness": {
"headers": {
"Authorization": "Bearer \u003cYOUR_KEY\u003e"
},
"url": "https://ai-readiness--russ-xtsr.run.tools"
}
}
}
| 工具 | 说明 |
|---|---|
| generate_ai_readiness_files | Start 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_files | List all 18 AI readiness files in generation order with filenames and purposes |
| get_file_spec | Get the detailed specification for one AI readiness output file (e.g. llms.txt, ai-entities.json) |
| get_skill_instructions | Return the full AI Readiness skill workflow (research, classification, file generation) |
| get_site_classification_guide | Return the site-type classification table used before generating files |
| generate_rag_jsonl | Convert rag-index.json content (JSON array) to rag-index.jsonl (one JSON object per line) |
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