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Strategies to Improve SEO Using Page Content and Trends

  • Why this server?

    Offers advanced web crawling and scraping capabilities, which can be used to gather data on current trends and analyze page content for SEO improvements.

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    Built as a Model Context Protocol (MCP) server that provides advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API.
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    Python
    • Apple
    • Linux
  • Why this server?

    Extracts main content from webpages, removing ads and non-essential elements, delivering clean, LLM-optimized Markdown which can be used for analysing page content for SEO.

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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?

    Enables advanced search and content extraction for identifying trends and relevant page content to improve SEO.

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    A Model Context Protocol server enabling advanced search and content extraction using the Tavily API, with rich customization and integration options.
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    57
    1
    JavaScript
    MIT License
  • Why this server?

    Integrates Tavily's search API for performing web searches and data extraction, identifying content and trends to improve SEO.

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    Integrates Tavily's search API with LLMs to provide advanced web search capabilities, including intelligent result summaries, domain filtering for quality control, and configurable search parameters.
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    9
    JavaScript
    MIT License
    • Linux
  • Why this server?

    Enables searching Google News for trend analysis and content ideas to help improve SEO strategy.

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    This server enables users to perform Google News searches with automatic categorization and multi-language support via SerpAPI integration.
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    JavaScript
    MIT License
  • Why this server?

    Enhances Claude's capabilities by providing access to website analytics data from Umami, enabling analysis of user behavior, website performance tracking, and data-driven insights generation, critical for SEO optimization.

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    Enhances Claude's capabilities by providing access to website analytics data from Umami, enabling analysis of user behavior, website performance tracking, and data-driven insights generation.
    4
    Python
    MIT License
    • Apple
  • Why this server?

    Enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API for high-concurrency and asynchronous requests which can be useful for identifying SEO trends.

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    The Search MCP Server enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API for high-concurrency and asynchronous requests.
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    52
    Python
    MIT License
    • Linux
  • Why this server?

    Provides a lightweight, stateless MCP server utilizing Puppeteer for web searches, returning structured JSON results, easily integratable with other MCP-enabled systems which can then be used to feed relevant information and keywords to improve SEO.

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    A lightweight, stateless MCP server utilizing Puppeteer for web searches, returning structured JSON results, easily integratable with other MCP-enabled systems.
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    1,679
    JavaScript
  • Why this server?

    A server based on the MCP protocol that uses the Brave API for web search functionality, which can be helpful in SEO research.

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    A server based on the MCP protocol that uses the Brave API for web search functionality.
    6
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Searching google, individual websites and scraping their content. Fast and cost-effective, which can be helpful in identifying content for SEO.

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    Searching google, individual websites and scraping their content. Fast and cost-effective. ⚡️
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    TypeScript
    MIT License