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An overview of semiotics and its concepts

  • Why this server?

    Enables users to search for academic articles on platforms like arXiv using specific keywords, which could be related to semiotics.

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    Enables users to search for academic articles on platforms like arXiv using specific keywords, with plans to integrate more scholarly databases in the future.
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    40
    Python
    MIT License
    • Apple
  • Why this server?

    Bridges the gap between AI models and academic research by providing an interface to arXiv's repository, allowing precise paper searches, enhancing the ability to engage with scientific literature related to semiotics.

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    The ArXiv MCP Server bridges the gap between AI models and academic research by providing a sophisticated interface to arXiv's extensive research repository. This server enables AI assistants to perform precise paper searches and access full paper content, enhancing their ability to engage with scientific literature.
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    709
    Python
    Apache 2.0
    • Linux
    • Apple
  • Why this server?

    Provides access to the Semantic Scholar API, offering access to academic paper data, author information, and citation networks, which could be useful for finding research related to semiotics.

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    Semantic Scholar API, providing comprehensive access to academic paper data, author information, and citation networks.
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    Python
    MIT License
  • Why this server?

    Allows the use of Kagi's API for web searching and content enrichment, enabling the discovery of relevant information and resources related to semiotics on the web.

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    Allows the use of Kagi's API for web searching and content enrichment through methods like fastgpt, enrich/web, and enrich/news.
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    2
    Python
    MIT License
    • Apple
  • Why this server?

    A server facilitating web search functionality by utilizing Perplexity AI's API, designed to integrate with the Claude desktop client for enhanced search queries on semiotics.

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    A server facilitating web search functionality by utilizing Perplexity AI's API, designed to integrate with the Claude desktop client for enhanced search queries.
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    94
    Python
    MIT License
    • Apple
  • Why this server?

    Enables LLMs to perform semantic search and document management using ChromaDB, supporting natural language queries with intuitive similarity metrics for retrieval augmented generation applications related to semiotics.

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    Enables LLMs to perform semantic search and document management using ChromaDB, supporting natural language queries with intuitive similarity metrics for retrieval augmented generation applications.
    Python
    • 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 on semiotics.

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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?

    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 related to semiotics.

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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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    JavaScript
    MIT License
  • Why this server?

    Enables interaction with a TrueRAG system through a GraphQL API using the Model Context Protocol (MCP), facilitating access to policies with a Python SDK and GQL library integration, which could be useful for research in semiotics.

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    Enables interaction with a TrueRAG system through a GraphQL API using the Model Context Protocol (MCP), facilitating access to policies with a Python SDK and GQL library integration.
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    • Apple
    • Linux
  • Why this server?

    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context, assisting in gathering information on semiotics.

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    An MCP server implementation that provides tools for retrieving and processing documentation through vector search, enabling AI assistants to augment their responses with relevant documentation context
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    TypeScript
    MIT License