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Search Engine Optimization (SEO) Information and Resources

  • Why this server?

    Generates answers based on the latest information for user queries using Gemini API and Google Search, useful for SEO research.

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    Utilizes Gemini API and Google Search to generate answers based on the latest information for user queries.
    3
    21
    JavaScript
    MIT License
  • Why this server?

    Uses Brave Search to find information relevant to SEO.

  • Why this server?

    Enables efficient web search integration with Jina.ai's Search API, offering clean, LLM-optimized content retrieval relevant to SEO.

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    Enables efficient web search integration with Jina.ai's Search API, offering clean, LLM-optimized content retrieval with support for various content types and configurable caching.
    1
    22
    3
    JavaScript
    MIT License
  • Why this server?

    Enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases - useful for researching SEO.

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    A Model Context Protocol server that enables AI models to perform real-time internet and knowledge searches through Higress, enhancing model responses with up-to-date information from Google, Bing, Arxiv, and internal knowledge bases.
    1
    4
    Python
    Apache 2.0
  • Why this server?

    Enables seamless integration of network and local search capabilities in tools like Claude Desktop and Cursor, utilizing the Brave Search API, which is useful for SEO research.

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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.
    1
    52
    Python
    MIT License
    • Linux
  • Why this server?

    Performs multi-topic searches in business, news, finance, and politics using the Tavily API, providing high-quality sources and intelligent summaries - beneficial for SEO analysis.

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    This MCP server performs multi-topic searches in business, news, finance, and politics using the Tavily API, providing high-quality sources and intelligent summaries.
    1
    1
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    Provides unified access to multiple search engines (Tavily, Brave, Kagi) which is helpful in SEO research and analysis.

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    🔍 A Model Context Protocol (MCP) server providing unified access to multiple search engines (Tavily, Brave, Kagi), AI tools (Perplexity, FastGPT), and content processing services (Jina AI, Kagi). Combines search, AI responses, content processing, and enhancement features through a single interface.
    15
    47
    29
    TypeScript
    MIT License
    • Linux
  • Why this server?

    Enables iterative deep research by integrating AI agents with search engines and web scraping for efficient data gathering and comprehensive reporting related to SEO topics.

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    Enables iterative deep research by integrating AI agents with search engines, web scraping, and large language models for efficient data gathering and comprehensive reporting.
    50
    TypeScript
    MIT License
  • Why this server?

    Enables LLMs to perform sophisticated web searches through proxy servers using Tavily's API, supporting comprehensive web searches relevant for SEO research.

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    Enables LLMs to perform sophisticated web searches through proxy servers using Tavily's API, supporting comprehensive web searches, direct question answering, and recent news article retrieval with AI-extracted content.
    1
    Python
  • Why this server?

    Enables AI assistants to perform up-to-date web searches through the Tavily API, providing comprehensive search results with AI-generated summaries for SEO related queries.

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    Enables AI assistants to perform up-to-date web searches through the Tavily API, providing comprehensive search results with AI-generated summaries.
    5
    JavaScript
    MIT License