Why this server?
Connects Google Search Console with Claude AI to enable SEO professionals to analyze their SEO data through natural language conversations, providing access to property information, search analytics, URL inspection, and sitemap management.
AlicenseBqualityBmaintenanceConnects Google Search Console with Claude AI to enable SEO professionals to analyze their SEO data through natural language conversations, providing access to property information, search analytics, URL inspection, and sitemap management.18,518 PyPI1,601MITWhy this server?
Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls, which is useful for analyzing the content of a webpage.
AlicenseNot gradedqualityCmaintenanceProvides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.73,147 npm1MITWhy this server?
A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web pages, which can be used for SEO analysis.
AlicenseAqualityCmaintenanceA server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web1130 npm180MITWhy this server?
Enables AI agents to control web browsers via a standardized interface for operations like launching, interacting with, and closing browsers, which can be useful for testing website behavior and SEO effectiveness.
AlicenseNot gradedqualityCmaintenanceEnables AI agents to interact with web browsers using natural language, featuring automated browsing, form filling, vision-based element detection, and structured JSON responses for systematic browser control.62MITWhy this server?
Extracts and transforms webpage content into clean, LLM-optimized Markdown, making it easier for AI to analyze the content and identify SEO issues.
AlicenseAqualityFmaintenanceExtracts and transforms webpage content into clean, LLM-optimized Markdown. Returns article title, main content, excerpt, byline and site name. Uses Mozilla's Readability algorithm to remove ads, navigation, footers and non-essential elements while preserving the core content structure.131 npm17MITWhy this server?
An MCP (Model Context Protocol) server for performing accessibility audits on webpages using axe-core. Use the results in an agentic loop with your favorite AI assistants (Cline/Cursor/GH Copilot) and let them fix a11y issues for you!
AlicenseBqualityBmaintenanceAn MCP (Model Context Protocol) server for performing accessibility audits on webpages using axe-core. Use the results in an agentic loop with your favorite AI assistants (Cline/Cursor/GH Copilot) and let them fix a11y issues for you!2556 npm52Mozilla Public 2.0Why this server?
Allows Cursor to interact with Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!
AlicenseCqualityAmaintenanceAllows AI assistants such as Cursor/Cline/GitHub Copilot to use Google's lighthouse tool to measure perf metrics for your webpage. You can then run an agentic loop and get the assistants to optimize those metrics!21,300 npm209MITWhy this server?
Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources, which can assist in identifying and addressing SEO issues.
AlicenseNot gradedqualityDmaintenanceEnhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.368MITWhy this server?
Integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, this might be useful in optimizing website structure or identifying constraints affecting SEO.
AlicenseNot gradedqualityDmaintenanceMCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution21MIT