Vinkius
Heading Structure Validator

Heading Structure Validator MCP for AI. Audit SEO, hierarchy, and semantic density in minutes.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Works with every AI agent you already use

…and any MCP-compatible client

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Connect to your AI in seconds.

Heading Structure Validator checks your HTML outline for structural integrity, keyword placement, and content richness. It tells you if your headings follow proper rules—like H2 after an H1—and provides a score showing how deep and varied your information is.

Use it when you need to audit page structure for SEO or accessibility compliance.

Audit heading nesting

Checks if headings follow proper structural rules by detecting skipped levels or multiple top-level tags.

Confirm keyword presence

Verifies that required SEO keywords are actually included in your heading structure.

Assess content depth score

Generates a numerical density score to measure the variety and informational richness across different heading levels.

Included with Plan

Waiting for input…

AI Agent

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Claude AI

Claude AI

1

Open Claude Settings

Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

2

Add Custom Connector

Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL:

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

3

Start a conversation

Open a new chat. The Heading Structure Validator integration is available immediately — no restart needed.

Choose How to Get Started

Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.

Build Your Own

Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.

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Make Your AI Do More

Start with Heading Structure Validator, then connect any of our 5,100+ other servers whenever your AI needs more. One click, no limits.

  • Use this MCP plus 5,100+ others, all in one place
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  • Works with Claude, ChatGPT, Cursor, and more
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Heading Structure Validator MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Heading Structure Validator. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This connection provides powerful capabilities that interface natively with Claude, ChatGPT, Cursor, and other compatible AI platforms. No middleware. No custom integration required.

Manually auditing heading structure and content depth takes forever.

Today, when you audit a page outline, you have to jump between tools: one for checking H1 counts, another for validating nesting levels, and maybe a third just to calculate if your article is 'deep' enough. You spend hours copying data into multiple tabs and running separate checks.

With this MCP, you feed the heading list once. Your agent handles all three necessary structural audits—hierarchy, keywords, and density score—and delivers one unified report. It tells you exactly what needs fixing, so you just copy the failures and write better headings.

The Heading Structure Validator MCP gives you immediate visibility into your content's structure.

You stop worrying about whether an H3 followed an H1, skipping a level. You also don't have to manually cross-reference every important term against the heading list for SEO compliance.

What you get is total confidence in your structure. The MCP tells you if you passed or failed these critical checks, letting you focus entirely on writing great copy instead of fixing tags.

What your AI can actually do with this

Writing good web content isn't just about filling space; it's about making sure search engines can actually read the hierarchy. This MCP audits webpage document outlines, giving you a clear picture of structural integrity. You feed it your heading data, and it checks everything: whether levels are skipped, if you repeated H1 tags accidentally, or if critical keywords are missing from key sections.

It even calculates semantic density to measure how rich your content is across different headings. When you use this MCP through Vinkius's catalog, your agent handles the whole process. You get instant feedback on compliance and structure, letting you fix technical SEO issues before a human ever sees the page.

Built · Hosted · Managed by Vinkius Heading Structure Validator - Audit SEO & HTML Outlines
Server ID 019eef7c-4a79-72e6-aaa2-d5e0fa493255
Vinkius Inspector
Compliance Grade B
Score 85/100
Vinkius Inspector Badge — Score 85/100

Questions you might have

How do I check for heading hierarchy errors? +

Use the check_hierarchy tool by providing an array of objects containing the level and text of your headings. Tools available: your_tool_name.

Can I verify specific keywords in my H2 tags? +

Yes, use verify_keywords and specify the target level as 'h2' to check for your required terms.

What is semantic density? +

It is a measure of how much unique, meaningful information is present in each heading level compared to the total word count, calculated via calculate_semantic_density.

What input format does `check_hierarchy` require? +

It requires a list of heading objects, structured with both a 'level' and 'text'. You must pass an array like this: [{'level': 'h1', 'text': 'Title'}, {'level': 'h2', 'text': 'Section'}].

If I run `verify_keywords` with invalid heading data, what error message do I get? +

The system returns a structured validation failure. It flags missing required fields or non-existent HTML tags in the input list. You'll see specific details about where the structure broke.

Are there rate limits when using `calculate_semantic_density` on multiple sections? +

Yes, the MCP has standard usage rate limits to manage load. To process large batches of data, submit them through Vinkius's dedicated batch endpoint rather than making repeated single calls.

When I use `check_hierarchy`, does it validate an entire webpage or just specific sections? +

This MCP validates the document outline you provide, not a live URL. You must input a structured list of headings; it cannot scrape content from actual webpages.

Are there restrictions on the type of keywords I can pass to `verify_keywords`? +

No, it supports standard Unicode characters and complex regular expressions. Just ensure your keyword list is properly sanitized for safe query execution before submitting the tool call.

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