# JSON-LD SEO Compiler MCP

> JSON-LD SEO Compiler automatically builds 100% Google-compliant structured data blocks. It takes raw content metadata and deterministically injects all required Schema.org boilerplate, preventing AI agents from generating invalid or incomplete schema markup that search engines reject.

## Overview
- **Category:** developer-tools
- **Price:** Free
- **Tags:** schema-markup, structured-data, rich-snippets, json-ld, web-optimization

## Description

When an agent generates a blog post, product page, or FAQ section for a CMS, it needs more than just text; it needs structure. Without perfect structured data, Google might ignore the content's context—your rich snippets just won't appear. The JSON-LD SEO Compiler solves this structural headache. It acts as a validator and formatter in one. You feed it simple metadata, like a headline or product price, and it outputs a ready-to-use, perfectly formatted `<script type="application/ld+json">` block. This means your agent can generate content with confidence, knowing the SEO markup is flawless every time. If you're building complex systems, connecting this MCP through Vinkius gives you access to specialized tools for data validation right where you need it.

## Tools

### build_schema
Takes a content type and properties, then automatically generates a fully compliant JSON-LD block for SEO structured data.

## Prompt Examples

**Prompt:** 
```
Build a JSON-LD snippet for an `Article` with this metadata: `{"headline": "AI Agents 2026", "author": "John Doe"}`
```

**Response:** 
```
JSON-LD SEO Schema: Block generated successfully.
```

**Prompt:** 
```
Compile this product data into a Google-compliant structured data format.
```

**Response:** 
```
JSON-LD SEO Schema: The application/ld+json script is ready.
```

**Prompt:** 
```
Generate an FAQPage schema for these three questions.
```

**Response:** 
```
JSON-LD SEO Schema: Compiled successfully.
```

## Capabilities

### Generate Article Schema
Creates valid JSON-LD blocks specifically designed for blog posts or informational articles.

### Format Product Data
Compiles product attributes—like price, SKU, and availability—into structured data Google understands.

### Validate Schema Structure
Automatically injects mandatory boilerplate (like `@context` and `@type`) to ensure the schema meets strict Google guidelines.

## Use Cases

### Bulk Product Page Generation
A team is generating 500 new product pages daily. Instead of relying on the LLM to output correct structured data for every single one, they feed the core metadata (name, price, SKU) into this MCP. The resulting guaranteed schema blocks are automatically injected into the template, making mass publishing reliable.

### Automated Blog Publishing
A marketing agent publishes articles to WordPress via API. Before hitting publish, it sends the article's headline and author data through this MCP. The resulting valid Article schema block is attached, guaranteeing Google knows exactly who wrote it and what topic it covers.

### FAQ Section Integration
The development team builds a new 'Help Center' page that requires structured FAQs. They use the tool to compile the questions and answers into an FAQPage schema, ensuring search engines display the Q&A format directly in SERPs.

## Benefits

- Stops AI hallucination of bad data. The `build_schema` tool enforces mandatory attributes like `@context` and `@type`, ensuring every output block is valid from the start.
- Saves time checking schemas manually. Instead of running multiple validation tools, this MCP compiles everything into one ready-to-use script tag.
- Ensures content visibility. By guaranteeing compliant structured data for articles or products, your site maximizes its chances of earning rich snippets in search results.
- Handles complex types easily. You can pass simple metadata and the tool handles the complexity of different Schema.org models (e.g., Article vs. FAQPage).
- Integrates into any workflow. Because it outputs a clean, standard script block, you just drop it directly into your CMS template layer.

## How It Works

The bottom line is you give it raw data and the intended content type; it gives back guaranteed Google-compliant structured markup.

1. Pass the compiler a simple JSON payload containing your content's core metadata. You must also specify the Schema.org type (e.g., Article, Product).
2. The MCP processes this data, deterministically injecting all required boilerplate and attributes that an AI agent might forget.
3. You receive a perfectly formatted, ready-to-inject `<script type="application/ld+json">` block for direct HTML placement.

## Frequently Asked Questions

**How does JSON-LD SEO Compiler help with Google compliance?**
The tool enforces strict adherence to Schema.org standards by automatically including mandatory attributes like `@context` and `@type`. This prevents the kind of incomplete data that search engines reject.

**Do I need to use `build_schema` for every content type?**
No, but you must use it if structured data is critical. The tool accepts different Schema types (Article, Product, etc.), so you only run what's necessary.

**Is JSON-LD SEO Compiler better than just asking my agent to write the schema?**
Yes. Asking your agent is prone to 'hallucination' of invalid syntax or missing attributes. This MCP guarantees structural integrity every time, which is what you need for production.

**What data does `build_schema` accept as input?**
`build_schema` accepts a JSON string containing the core properties of your content, plus you must specify the overall Schema.org type (like Article or Product).

**What happens if I run `build_schema` with malformed or incomplete data?**
The compiler validates your input JSON syntax first. If there are structural errors, the tool will throw a specific error message identifying the problematic field. This prevents you from injecting invalid code into your CMS.

**Can I use the JSON-LD SEO Compiler for multiple content types in one go?**
The compiler generates individual, distinct schema blocks. For example, if you have product and article data, you run `build_schema` sequentially for each type. You then combine these separate script tags.

**If my source JSON is missing required attributes (like a publication date), will the compiler fill them in?**
No, the tool does not hallucinate core data points; you must provide all factual information. However, it handles the schema boilerplate—injecting necessary attributes like `@context` and correctly formatting the structure for Google.

**Are there performance limits or rate restrictions when using the JSON-LD SEO Compiler?**
The MCP is built for high throughput. Usage rates are governed by Vinkius platform policies, but it processes schema compilation very quickly, even with large datasets.

**Why do I need an engine for this?**
LLMs can easily break JSON syntax (missing quotes, trailing commas) which causes HTML parsers to crash. This engine parses and stringifies deterministically.

**Does it support all Schema types?**
Yes! You can pass any valid Schema.org type like `Article`, `Product`, `FAQPage`, or `LocalBusiness`.

**Can it nest objects?**
Yes, just pass a nested JSON payload and the engine will compile it correctly.