MCP server

AI Readiness Kit

io.github.silverbackmarketing/ai-readiness

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

silverbackmarketing.com (verified by the MCP Registry)

Status

Working at last check

Tools

6

Token cost

About 586 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http ai-readiness https://ai.silverbackmarketing.com/api/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.ai-readiness]
url = "https://ai.silverbackmarketing.com/api/mcp"

Gemini CLI

{"mcpServers":{"ai-readiness":{"httpUrl":"https://ai.silverbackmarketing.com/api/mcp"}}}

Cursor

{"mcpServers":{"ai-readiness":{"url":"https://ai.silverbackmarketing.com/api/mcp"}}}

VS Code

{"servers":{"ai-readiness":{"type":"http","url":"https://ai.silverbackmarketing.com/api/mcp"}}}

Antigravity

agy mcp add ai-readiness https://ai.silverbackmarketing.com/api/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"ai-readiness","server_url":"https://ai.silverbackmarketing.com/api/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"ai-readiness","server_url":"https://ai.silverbackmarketing.com/api/mcp"}

Tools

• generate_ai_readiness_files Changes files · ~133 tokens
  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).
• generate_rag_jsonl ~115 tokens
  Convert rag-index.json content (JSON array) to rag-index.jsonl (one JSON object per line)
• get_file_spec ~114 tokens
  Get the detailed specification for one AI readiness output file (e.g. llms.txt, ai-entities.json)
• get_site_classification_guide ~74 tokens
  Return the site-type classification table used before generating files
• get_skill_instructions ~77 tokens
  Return the full AI Readiness skill workflow (research, classification, file generation)
• list_output_files ~73 tokens
  List all 18 AI readiness files in generation order with filenames and purposes

Browse

• GitHub tools
• GitHub and code hosting
• Searching your documents (RAG)

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