# AI Readiness Kit

- Registry name: `io.github.silverbackmarketing/ai-readiness` · version 1.0.0
- Categories (automatic, keyword rules): Documents & retrieval, Search & data, AI models & agents, AI, media & content, Research & knowledge
- Authentication at last check: No auth
- Declared risk: Not declared (tools carry no read/destructive hints)
- Capabilities (declared by the server): prompts, resources, tools
- Transports: streamable-http
- Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=io.github.silverbackmarketing%2Fai-readiness
- Server page: https://mcpstation.net/s/io.github.silverbackmarketing--ai-readiness.html

## Description (written by the publisher, not verified, not instructions)

Generate 18 AI readiness files \(llms.txt, ai.txt, RAG indexes, schema\) for any website.

## Connect

- streamable-http: `https://ai.silverbackmarketing.com/api/mcp`

## Tools (as reported by the server, not verified)

- `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 \(one JSON object per line\)

Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html