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Website or information about Jina.ai

  • 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.
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    TypeScript
    MIT License
    • Linux
  • 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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    Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.
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    1
    JavaScript
    MIT License
  • 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.
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    JavaScript
    MIT License
    • Linux
  • 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
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    24
    Python
    Apache 2.0
    • Apple
  • 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.
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    JavaScript
    MIT License
    • Linux
  • 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.
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    Python
  • 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.
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    JavaScript
    Apache 2.0
    • Apple
  • 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.
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    11
    TypeScript
    MIT License
    • Apple
    • Linux
  • Why this server?

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

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    An MCP server implementation that integrates the SearxNG API, providing web search capabilities.
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    2
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    63
    JavaScript
    MIT License
    • Linux
    • Apple
  • Why this server?

    Provides knowledge graph representation with semantic search using Qdrant, supporting OpenAI embeddings for semantic similarity and robust HTTPS integration with file-based graph persistence.

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    Facilitates knowledge graph representation with semantic search using Qdrant, supporting OpenAI embeddings for semantic similarity and robust HTTPS integration with file-based graph persistence.
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    TypeScript
    • Linux
    • Apple