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⇱ A server for finding research papers, extracting content, and retrieving relevant repository codes | Glama


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A server for finding research papers, extracting content, and retrieving relevant repository codes

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  • Why this server?

    Provides read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections, which directly addresses the user's need to find papers and code.

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    A Model Context Protocol server that provides Claude and other LLMs with read-only access to Hugging Face Hub APIs, enabling interaction with models, datasets, spaces, papers, and collections through natural language.
    Last updated
    10
    71
    MIT
  • Why this server?

    Offers RAG capabilities for semantic document search, allowing users to add, search, list, and delete documentation, supporting PDF documents and code repositories.

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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.
    Last updated
    10
    16
  • Why this server?

    Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.

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    Enables integration with Google Drive for listing, reading, and searching over files, supporting various file types with automatic export for Google Workspace files.
    Last updated
    7,666
    69
    MIT
  • Why this server?

    Allows browsing and reading files from specified GitHub repositories, providing access to repository contents which is relevant for extracting codes.

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    A server that allows AI assistants to browse and read files from specified GitHub repositories, providing access to repository contents via the Model Context Protocol.
    Last updated
    6
    MIT
  • Why this server?

    Enables reading, searching, and analyzing code files with advanced caching and real-time file watching, helpful for analyzing code repositories.

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    A Model Context Protocol server that enables LLMs to read, search, and analyze code files with advanced caching and real-time file watching capabilities.
    Last updated
    6
    4
    37
    MIT
  • Why this server?

    Retrieves transcripts for given YouTube video URLs, useful for 'telly methods' and extracting textual content from videos.

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    This server retrieves transcripts for given YouTube video URLs, enabling integration with Goose CLI or Goose Desktop for transcript extraction and processing.
    Last updated
    4
    401
    MIT
  • Why this server?

    Provides unified access to multiple search engines, AI tools, and content processing services, enhancing the capability to find diverse types of resources.

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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?

    A framework that extends Cursor IDE with tools for web content retrieval, PDF processing, and Word document parsing, enabling access to a broad range of document types.

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    A powerful Model Context Protocol framework that extends Cursor IDE with tools for web content retrieval, PDF processing, and Word document parsing.
    Last updated
    8
    17
    MIT
  • Why this server?

    Facilitates searching programming resources across platforms like Stack Overflow, MDN, GitHub, npm, and PyPI, helping find code examples and documentation.

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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.
    Last updated
    6
    43
    AGPL 3.0