What is the Ready4AI MCP integration?

The Ready4AI MCP (Model Context Protocol) integration is a solution that connects AI coding assistants like Claude, Cursor, and VS Code directly to Ready4AI's platform. It enables AI assistants to fetch generated structured data in JSON-LD format and automatically write website integration code across any technology stack. This represents Ready4AI's 'third way' of integration, combining the ease of a plugin with the flexibility of a REST API, all driven through conversational AI.

How long does it take to set up the Ready4AI MCP Server?

The setup process is marketed as taking three steps and approximately two minutes. This quick setup allows developers to integrate AI-optimized structured data into their websites through AI-assisted development.

Which AI coding assistants are compatible with Ready4AI MCP?

The Ready4AI MCP Server is compatible with Claude Code, Claude.ai, Cursor, and VS Code. The integration is framework-agnostic, meaning it works with any technology stack including Next.js, Astro, static sites, and any other framework through AI-generated custom integrations.

What are the four MCP tools available in the Ready4AI integration?

The Ready4AI MCP integration provides four tools: 1) get_enhanced_content - fetches generated JSON-LD for any page and provides the exact payload for embedding in page head; 2) check_page_integration - inspects live pages to verify structured data presence in raw HTML, confirms data currency, and shows what AI crawlers actually see; 3) coverage_report - performs bulk audits of up to 50 URLs simultaneously to identify pages with ready content versus missing content, designed for SEO agencies managing multiple client sites; 4) validate_jsonld - provides offline structural validation to catch schema mistakes that break rich results and AI parsing.

What authentication credentials are required to use the Ready4AI MCP Server?

To use the Ready4AI MCP Server, you need two authentication credentials: an API Key and an API Secret. Both credentials are generated from the Ready4AI dashboard and are required for connection. These credentials are configured in the environment variables READY4AI_API_KEY and READY4AI_API_SECRET during setup.

Is the Ready4AI MCP Server open source?

Yes, the Ready4AI MCP Server is open source and available on GitHub at https://github.com/ApplyLogic/ready4ai-mcp. It is distributed via NPX (Node Package Manager) under the package name @ready4ai/mcp.

Does the MCP integration have write access to my Ready4AI account?

No, the Ready4AI MCP Server provides read-only access. It allows inspection and fetching of data only, with no ability to make account modifications. This security feature ensures that the integration can only retrieve structured data and check integrations without altering your account settings or content.

What is the coverage_report tool used for?

The coverage_report tool is designed for bulk audit capability, allowing you to check up to 50 URLs simultaneously. It identifies which pages have ready content versus missing content. This tool is specifically designed for SEO agencies managing multiple client sites, making it easy to audit structured data deployment across large numbers of pages at once.

What alternative integration methods does Ready4AI offer besides MCP?

Besides the MCP integration, Ready4AI offers three alternative integration methods: a WordPress plugin for WordPress sites, a REST API for custom implementations, and a JavaScript snippet. These options provide flexibility for different technical environments and use cases.

What can the check_page_integration tool verify?

The check_page_integration tool can inspect live pages and verify three key aspects: 1) whether structured data is present in the raw HTML, 2) whether the data is current and up-to-date, and 3) what AI crawlers actually see when they access your page. This provides visibility into how your structured data appears to AI systems and search engines.

Integrations

Connect your AI assistant

Q: How do I configure the Ready4AI MCP Server for Claude Code?

To configure the Ready4AI MCP Server for Claude Code, use the following command: claude mcp add ready4ai --env READY4AI_API_KEY=your-key --env READY4AI_API_SECRET=your-secret -- npx -y @ready4ai/mcp. Replace 'your-key' and 'your-secret' with your actual API credentials generated from the Ready4AI dashboard.

Q: How do I set up the MCP integration for Cursor or VS Code?

For Cursor, VS Code, or any MCP client, add the following configuration to your MCP settings file: {"mcpServers": {"ready4ai": {"command": "npx", "args": ["-y", "@ready4ai/mcp"], "env": {"READY4AI_API_KEY": "your-key", "READY4AI_API_SECRET": "your-secret"}}}}. Replace 'your-key' and 'your-secret' with your actual API credentials.

Three steps, about two minutes: Ready4AI speaks the Model Context Protocol, so Claude, Cursor or VS Code can fetch your generated structured data — and write the whole integration for you, on any stack.

Why this matters

Until now there were two ways to integrate Ready4AI: the WordPress plugin (easy, but WordPress only) or our REST API (any stack, but you write the code). The MCP server is the third way: your AI assistant gets direct, read-only access to your generated JSON-LD, plus integration playbooks for Next.js, Astro, static sites and more — so the integration work happens in conversation. The product that makes your site visible to AI is now the product AI knows how to install.

Three steps to connected

Get your API key

In your Ready4AI dashboard, open your domain and create an API key. You will need both the key and the secret.

Connect your assistant

Add the Ready4AI MCP server to your AI tool of choice — Claude Code, Claude.ai, Cursor, or VS Code. One command or a few lines of configuration; the snippets below cover each.

Ask for the integration

Tell your assistant what you want — “integrate Ready4AI structured data into this site” — and it fetches your generated content, writes the integration for your framework, and verifies the deployed result.

Set-up snippets

Claude Code

claude mcp add ready4ai \
  --env READY4AI_API_KEY=your-key \
  --env READY4AI_API_SECRET=your-secret \
  -- npx -y @ready4ai/mcp

Cursor, VS Code, or any MCP client

{
  "mcpServers": {
    "ready4ai": {
      "command": "npx",
      "args": ["-y", "@ready4ai/mcp"],
      "env": {
        "READY4AI_API_KEY": "your-key",
        "READY4AI_API_SECRET": "your-secret"
      }
    }
  }
}

Open source on GitHub — every tool is read-only, so the server can inspect and fetch but never change your account. Claude users can also install the bundled integration skill for framework playbooks and audit guidance.

What your assistant can do

`get_enhanced_content`

Fetches the generated JSON-LD for any page — the exact payload to embed in your page head.

`check_page_integration`

Inspects a live page and reports whether your structured data is present in the raw HTML — what AI crawlers actually see — and whether it is current.

`coverage_report`

Audits up to 50 URLs at once: which pages have generated content ready, which are still missing it. Built for agencies checking whole client sites.

`validate_jsonld`

Structural validation that catches the schema mistakes that break rich results and AI parsing — entirely offline.

Prefer a plugin or the raw API?

WordPress sites are best served by our plugin; everything else by MCP or the REST API.

WordPress integration