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A guide to analyzing and fixing SEO on a webpage

  • 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.

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    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.
    44
    Python
    • Apple
  • Why 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.

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    Provides functionality to fetch and transform web content in various formats (HTML, JSON, plain text, and Markdown) through simple API calls.
    137,083
    TypeScript
  • Why 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.

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    A server that provides AgentQL's data extraction capabilities enabling AI agents to get structured data from unstructured web
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    JavaScript
    MIT License
    • Apple
    • Linux
  • Why 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.

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    Enables 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.
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    23
    Python
    • Linux
    • Apple
  • Why 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.

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    Extracts 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.
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    4
    11
    MIT License
  • Why 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!

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    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!
    JavaScript
    Mozilla Public License 2.0
  • Why 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!

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    Allows 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!
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    102
    4
    JavaScript
    MIT License
  • Why 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.

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    Enhances LLM applications with deep autonomous web research capabilities, delivering higher quality information than standard search tools by exploring and validating numerous trusted sources.
    65
    Python
    MIT License
    • Apple
  • Why 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.

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    MCP-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 solution
    4
    Python
    MIT License
    • Apple
  • Why this server?

    A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment. This enables a broad range of capabilities for analyzing and modifying webpages for SEO purposes

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    A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
    29
    10
    1
    TypeScript
    MIT License