Technical SEO MCP

Product Introduction

1. Technical SEO MCP is an AI-integrated copilot designed to enhance technical SEO workflows within Claude, Claude Code, Amp, and other MCP client platforms. It enables direct interaction with SEO tools through natural language processing, eliminating manual data transfers between systems. The product operates as a protocol layer that connects SEO analysis tools to AI agents for real-time auditing and recommendations.
2. The core value lies in bridging professional SEO analysis with AI-driven workflows, allowing users to execute technical audits, validate markup, and monitor site health directly within their preferred AI interface. It transforms complex SEO tasks into conversational commands, making advanced technical SEO accessible to non-experts while maintaining enterprise-grade accuracy for developers.

Main Features

1. Core Web Vitals Analysis: The tool automatically measures and reports LCP (Largest Contentful Paint), FID (First Input Delay), and CLS (Cumulative Layout Shift) metrics through integration with Google PageSpeed Insights API. It provides actionable recommendations for improving loading performance and visual stability across desktop and mobile environments.
2. Cross-Platform Crawler Simulation: Verifies site accessibility for Googlebot, ChatGPT crawler, and Claude's web indexing agent by analyzing robots.txt directives and server headers. Identifies crawl budget waste patterns and provides visual mapping of blocked resources impacting search engine visibility.
3. Structured Data Validation: Executes real-time JSON-LD schema validation against Schema.org specifications with error highlighting for missing required properties or invalid syntax. Supports automated testing of Product, Article, and FAQ schema implementations through API-triggered crawl jobs.

Problems Solved

1. Eliminates manual switching between SEO tools and AI interfaces by embedding technical audits directly into conversational workflows. This resolves the inefficiency of copying/pasting audit results between platforms like Screaming Frog and AI chatbots during technical analysis sessions.
2. Serves SEO professionals needing enterprise-level audit capabilities and developers requiring API-accessible SEO validation within CI/CD pipelines. Particularly benefits content teams using Claude for article creation who require real-time SEO feedback during drafting phases.
3. Enables immediate technical validation during website migrations, schema markup deployments, and mobile optimization projects through AI-commandable checks. Typical scenarios include verifying sitemap coverage during CMS updates or testing AMP page compatibility before launch.

Unique Advantages

1. Unlike traditional SEO platforms requiring separate dashboards, Technical SEO MCP surfaces data directly within AI agent interfaces using the MCP Protocol for bidirectional communication. This enables contextual SEO analysis during content creation or code debugging sessions without interface switching.
2. Implements automatic tool discovery through MCP client configurations, where compatible SEO modules become available as native commands in Claude and other supported agents. The protocol supports chained requests like "Analyze CWV → Check mobile compatibility → Validate schema" in single conversational threads.
3. Combines crawler perspective simulation with real user metrics (RUM) analysis through integrations with Google Search Console and third-party monitoring tools. This dual-data approach provides more accurate prioritization of SEO issues compared to tools relying solely on lab data or synthetic tests.

Frequently Asked Questions (FAQ)

1. How does Technical SEO MCP integrate with Claude? The product connects via MCP client configuration files that extend Claude's command set with SEO functions, enabling natural language requests like "Check Core Web Vitals for [URL]" directly in chat interfaces. Integration requires API key authentication and domain verification.
2. Which SEO checks are supported through AI agents? Current capabilities include page speed analysis, robots.txt validation, meta tag extraction, schema markup testing, sitemap validation, and mobile responsiveness checks. New tools are added through MCP Protocol updates without requiring client-side upgrades.
3. What technical requirements exist for implementation? Users need MCP-compatible client software (Claude, Amp, etc.) with HTTPS-enabled endpoints for API communication. The system requires read access to Search Console properties and permissions to execute Lighthouse audits via PageSpeed Insights API.
4. How does the crawler verification handle JavaScript-rendered content? The tool executes headless browser simulations for major crawlers (Googlebot, ChatGPT) to detect client-side rendering issues that might bypass traditional server log analysis. Results include screenshots of crawler-viewable content and blocked resource reports.
5. Can developers extend the base SEO toolset? Yes, the MCP Protocol supports custom plugin development using OpenAPI specifications, allowing integration of proprietary SEO checks or third-party APIs while maintaining compatibility with core AI agent command structures.