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  • Why this server?

    This server provides unified access to multiple search engines and content processing services, including Jina AI, which is the user's search query.

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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.
    Last updated
    3
    600
    313

  • Why this server?

    Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.

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    quality
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    Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.
    Last updated
    5
    MIT

  • Why this server?

    Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis.

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    Integrates Jina.ai's Reader API with LLMs for efficient and structured web content extraction, optimized for documentation and web content analysis.
    Last updated
    1
    37
    31
    MIT

  • Why this server?

    A FastMCP-based tool for interacting with Splunk Enterprise/Cloud through natural language. It combines search capabilities with data extraction and processing.

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    A FastMCP-based tool for interacting with Splunk Enterprise/Cloud through natural language. This tool provides a set of capabilities for searching Splunk data, managing KV stores, and accessing Splunk resources
    Last updated
    12
    105
    Apache 2.0

  • Why this server?

    Integrates Jina.ai's Grounding API with LLMs for real-time, fact-based web content grounding and analysis, enhancing LLM responses with precise, verified information.

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    Integrates Jina.ai's Grounding API with LLMs for real-time, fact-based web content grounding and analysis, enhancing LLM responses with precise, verified information.
    Last updated
    1
    24
    1
    MIT

  • Why this server?

    This server helps review your services on AWS based on the well architected framework, so you can build robust solutions.

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    This server provides guidance and recommendations based on AWS's Well-Architected Framework for cloud architectures, enabling analysis and review focused on operational excellence, security, reliability, performance efficiency, cost optimization, and sustainability.
    Last updated

  • Why this server?

    A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant).

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    A Model Context Protocol (MCP) server that enables semantic search and retrieval of documentation using a vector database (Qdrant). This server allows you to add documentation from URLs or local files and then search through them using natural language queries.
    Last updated
    38
    135
    Apache 2.0

  • Why this server?

    An MCP server implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.

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    A Model Context Protocol implementation that enables AI assistants to interact with markdown documentation files, providing capabilities for document management, metadata handling, search, and documentation health analysis.
    Last updated
    14
    44
    58
    MIT

  • Why this server?

    An MCP server implementation that integrates the SearxNG API, providing web search capabilities.

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    license
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    quality
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    maintenance
    An MCP server implementation that integrates the SearxNG API, providing web search capabilities.
    Last updated
    2
    16,650
    919
    MIT