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Top 20 MCP servers in the search category based on star ratings

  • Why this server?

    Provides unified access to multiple search engines and AI tools, fitting the 'search' category and potentially having high usage due to its comprehensive capabilities.

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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.
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    62
    24
    TypeScript
    MIT License
    • Linux
  • Why this server?

    Facilitates searching coding resources across multiple platforms, making it suitable for the 'search' category and beneficial for developers.

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    Facilitates searching and accessing programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, aiding LLMs in finding code examples and documentation.
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    25
    JavaScript
    AGPL 3.0
    • Apple
  • Why this server?

    Provides RAG capabilities for semantic document search, allowing users to add, search, list, and delete documentation. It is fitting for the 'search' category as it offers document searching and retrieval using vector databases.

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    Provides RAG capabilities for semantic document search using Qdrant vector database and Ollama/OpenAI embeddings, allowing users to add, search, list, and delete documentation with metadata support.
    5
    4
    TypeScript
    Apache 2.0
  • Why this server?

    Enables web and local searches using the Brave Search API, fitting the 'search' category and being straightforward to use.

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    Facilitates integration of Brave Search functionalities with AI assistants through the Model Context Protocol, enabling web and local searches using the Brave Search API.
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    4
    Python
    MIT License
  • Why this server?

    Provides web search capabilities using Perplexity's API, which suits the 'search' category and leverages AI for better results.

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    This server allows users to perform web searches using Perplexity AI, providing a tool for retrieving search results through a simple API interface.
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    TypeScript
  • Why this server?

    Provides web search functionality using DuckDuckGo for Code and MCP-compatible clients, which helps explore across search results and navigate web pages.

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    Provides web search functionality via DuckDuckGo for Claude Code and MCP-compatible clients, featuring advanced content exploration, navigation across search results, and detailed webpage analysis.
    1
    Python
    MIT License
  • Why this server?

    A Model Context Protocol (MCP) server that offers advanced web search, content extraction, web crawling, and scraping capabilities using the Firecrawl API.

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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?

    This server enables AI systems to integrate with Tavily's search and data extraction tools, providing real-time web information access and domain-specific searches.

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    This server enables AI systems to integrate with Tavily's search and data extraction tools, providing real-time web information access and domain-specific searches.
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    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    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.

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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.
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    3
    JavaScript
    MIT License