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AI Readiness Kit

by silverbackmarketingversion 1.0.0i★ –iRuns in the cloud
Registry nameio.github.silverbackmarketing/ai-readiness

Install

Overview

Description from the maker (original English)

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

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs in the cloud
  • Transport: Streamable HTTP
  • Category: Search & AI memory

Install

Pick the AI app you use, then copy the settings.

Before you install

  • Basic checks: 1 of 1 passed
  • Runs on the maker’s server: what you ask it goes through their server.
  • The registry lists no key to fill in.

You need

Which app do you use?

Pick your app above. We remember it, so next time the button says “Install in …”.

Works in Claude on the web, desktop and mobile:

  1. Open Settings → Connectors
  2. Press Add custom connector
  3. Paste the address below and press Add
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Add2https://…3
https://ai.silverbackmarketing.com/api/mcp

Run this in your terminal

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

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

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

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

ChatGPT connects only to servers on the internet:

  1. Open ChatGPT on the web → Settings → Connectors (Apps)
  2. Press Create or Add (some plans need Developer mode under Advanced first)
  3. Paste the address below, give it a name and save
  4. If it asks you to sign in, sign in with the maker
SettingsConnectors1+ Create2https://…3
https://ai.silverbackmarketing.com/api/mcp

Menu names can differ slightly by plan and over time.

Your choice stays on this device in a cookie; no account needed.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

We have not read this server’s tool list yet; we check endpoints in rotation.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account silverbackmarketing, which owns the repo

  • … Not checked yet

    Still maintained

    We have not read this repo from GitHub yet

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • … Not checked yet

    Endpoint responds

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    Sign-in with OAuth

    Not checked yet; we check endpoints in rotation

  • … Not checked yet

    No hidden instructions in tool descriptions

    Not checked yet; we read the tool list when we check the endpoint

Compared with others in Search & AI memoryi

  • More stars than 0% of the other 5727 servers in this category
  • Published to the registry more recently than 18% of the other 5727 servers in this category
  • Basic checks equal to or better than 100% of the other 5727 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is AI Readiness Kit safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs in the maker’s cloud. Connect over the internet with nothing to install, but what you send passes through the maker’s servers.

Is it still maintained?

The GitHub repo last changed –, and the latest version (1.0.0) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. It connects by URL, so apps that accept remote MCP servers work too, such as ChatGPT in developer mode.

What can I use instead?

In the same category: Context7, Codebase Memory, Exa

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsWidely used★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

AI Readiness Skill

Generate a complete suite of AI readiness files (GEO / generative engine optimization) for any website in a single command — llms.txt, ai.txt, schema, RAG indexes, and more. Install it into Claude, Cursor, Windsurf, GitHub Copilot, Gemini, or Codex with one npx command, or connect over MCP with no install.

📖 Live site & full docs: [ai.silverbackmarketing.com](https://ai.silverbackmarketing.com) · ⭐ Star this repo if it helps you get found by AI.


What is the AI Readiness Kit?

The AI Readiness Kit is a free, open-source set of 17 structured files you deploy at the root of your website — robots.txt, ai.txt, llms.txt, schema, RAG indexes, and more — that tell ChatGPT, Claude, Gemini, and Perplexity exactly who you are, what you offer, and how to represent you. Generate the whole set, tailored to any site, with a single command. Free forever (MIT); install with npx or run it over MCP with no install.


Why AI readiness

When someone wants a product recommendation, a service provider, or a straight answer, they often ask ChatGPT, Claude, Gemini, or Perplexity before they ever visit a website. If you are not giving those systems clear, current signals, they guess — and they often guess wrong.

AI readiness files are structured files you deploy at the root of your website to tell AI systems exactly who you are, what you offer, and where to send people. They speak a format AI already understands (the llmstxt.org standard, Schema.org, and emerging AI-crawler conventions), so assistants stop guessing about your brand based on stale training data and start representing you accurately in their answers.

This skill researches any site, classifies its industry, and generates all of those files for you — tailored to that business — in one command.


Contents

  • Install
  • Use via MCP (no install)
  • What It Does
  • The Files
  • Usage
  • FAQ
  • Reference Documentation
  • PDF Guides
  • Skill File Structure
  • Author & Company
  • License

Install

Quick install (any agent) — npx
# Global skill install → ~/.agents/skills/ AND ~/.claude/skills/ (default)

npx @silverbackmarketing/ai-readiness install

AGENTS.md — the cross-agent standard (Cursor, Codex & others)

npx @silverbackmarketing/ai-readiness install --agent agents

Both at once (recommended)

npx @silverbackmarketing/ai-readiness install --all

Primary targets:

TargetInstalls to
skills~/.agents/skills/ai-readiness/ and ~/.claude/skills/ai-readiness/ (full skill — SKILL.md + scripts + references)
agents./AGENTS.md — the standard read by Cursor, Codex, and a growing list of agents (adds a delimited block, keeps your existing content)
claude~/.claude/skills/ai-readiness/ only

For prompt-based agents, `AGENTS.md` is the default and recommended target — most modern agents now read it. Tool-specific files remain available if you prefer them:

Opt-in targetInstalls to
cursor./.cursor/rules/ai-readiness.mdc
windsurf./.windsurf/rules/ai-readiness.md
copilot./.github/copilot-instructions.md (delimited block)
gemini./GEMINI.md (delimited block)
generic./ai-readiness.SKILL.md (paste into any system prompt)

Non-Claude targets install into the current directory, so run the command from your project root. --all installs Claude + AGENTS.md. Add --force to overwrite, or --dir to change the target. Shared-file installs insert a marked block and update it in place on re-run, so they never clobber your other instructions.

Other install options
  • Claude Cowork one-click: download and open ai-readiness.skill.
  • Any AI, manually: copy SKILL.md into the assistant's system prompt or custom instructions.

After installing, trigger it with /ai-readiness yoursite.com in Claude, or just ask any agent: *"create AI readiness files for yoursite.com."*

Use via MCP (no install)

Connect your coding agent to the hosted MCP server instead of installing the skill locally. Same workflow — research a site and generate all the files.

Production: https://ai.silverbackmarketing.com/api/mcp

Example prompts once connected:

Generate AI readiness files for example.com

Use ai-readiness to list all output files Get the file spec for llms.txt from ai-readiness

Cursor — add to .cursor/mcp.json:

{

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

Refresh MCP servers, then ask: *"Use ai-readiness to generate files for example.com"*

Claude Code — add .mcp.json to your project root:

{

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

Or run:

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

Restart the session, run /mcp, then ask: *"Generate AI readiness files for mysite.com using ai-readiness"*

VS Code / Copilot — add to .vscode/mcp.json:

{

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

Open MCP: List Servers, confirm ai-readiness is running, then use agent mode in Copilot Chat.

Claude Desktop — use mcp-remote in ~/Library/Application Support/Claude/claude_desktop_config.json (macOS):

{

"mcpServers": { "ai-readiness": { "command": "npx", "args": ["-y", "mcp-remote", "https://ai.silverbackmarketing.com/api/mcp"] } } }

Fully quit and reopen Claude Desktop after saving.

OpenAI Codex — add to ~/.codex/config.toml:

[mcp_servers.ai-readiness]

url = "https://ai.silverbackmarketing.com/api/mcp" enabled = true

Or run codex mcp add ai-readiness --url https://ai.silverbackmarketing.com/api/mcp, then /mcp in a session.

Antigravity — Agent panel → … → MCP Servers → Manage → View raw config:

{

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

Antigravity uses serverUrl (not url). Save, refresh, then try in agent mode.

Perplexity — two ways to use the kit:

  • Via remote MCP connector — *requires a paid Perplexity plan; an org admin may first need to enable "Allow members to add custom connectors."* Go to Account settings → [Connectors](https://www.perplexity.ai/account/connectors) → click + Custom connector (top-right) → select Remote, then fill in:
FieldValue
NameAI Readiness
MCP Server URLhttps://ai.silverbackmarketing.com/api/mcp
AuthenticationNone
TransportStreamable HTTP

Check the acknowledgement box, click Add, then click the connector card to enable it. Ask: *"Use ai-readiness to generate files for example.com."* (Full steps: Perplexity's Adding Custom Remote Connectors guide.)

  • Manual — free, works on any plan: paste SKILL.md into a thread (or attach it), then ask: *"Using these AI readiness instructions, generate AI readiness files for example.com."*

Quick test:

curl -X POST 'https://ai.silverbackmarketing.com/api/mcp' \

-H 'Content-Type: application/json' \ -H 'Accept: application/json, text/event-stream' \ -d '{"jsonrpc":"2.0","method":"tools/list","params":{},"id":1}'

More client configs: ai.silverbackmarketing.com/#mcp


What It Does

Run /ai-readiness yoursite.com and the AI will research the site, classify its industry, and generate production-ready files that tell AI systems (ChatGPT, Claude, Gemini, Perplexity, and others) exactly what the site is, what it offers, and where to send users.

When deployed to a web root, these files improve how a site appears in AI-generated answers, summaries, and recommendations — a must-have for any business that wants to show up in the AI-driven web.


The Files

The skill generates 18 files. Of these, 17 deploy to your web root across 7 categories (16 if you omit the optional .well-known/ai-plugin.json); the 18th, README.md, is project documentation for your team. This matches the 17-file kit described on the live site.

#FilePurposeDeployed
1ai.txtPrimary AI identity declaration✅
2llms.txtConcise LLM-readable site summary✅
3llms-full.txtComprehensive LLM knowledge base✅
4ai-sitemap.xmlAI-optimized sitemap✅
5sitemap.mdHuman-readable sitemap for AI context✅
6ai-entities.jsonStructured entity definitions✅
7ai-intent.jsonUser intent and query mappings✅
8ai-schema.jsonSchema.org structured data✅
9rag-index.jsonRAG retrieval knowledge base✅
10rag-index.jsonlJSONL format for embedding pipelines✅
11ai-disclosure.txtAI content transparency statement✅
12training-data-policy.txtData usage and training policy✅
13.well-known/ai-plugin.jsonPlugin manifest for AI agents (optional)➖
14structured-data-guide.mdImplementation guide for developers✅
15manifest.jsonWeb app manifest✅
16deployment-checklist.mdStep-by-step deployment guide✅
17robots.txtAI crawler directives✅
18README.mdProject documentation (not deployed)➖

Usage

In Claude Cowork, type:

/ai-readiness yoursite.com

Or use natural language:

create AI readiness files for a

Only the beginning is shown; read the rest in the repo

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