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⇱ A server for converting study materials and optimizing online research | Glama


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A server for converting study materials and optimizing online research

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  • Why this server?

    This server retrieves and processes documentation through vector search, enabling AI to augment responses with relevant context, which is useful for study materials.

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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
    Last updated
    12
    265
    MIT
  • Why this server?

    Enables interaction with web pages for scraping and content extraction, useful for gathering study and work-related data.

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    A Model Context Protocol server that enables LLMs to interact with web pages, take screenshots, generate test code, scrape web pages, and execute JavaScript in a real browser environment.
    Last updated
    29
    53
    21
    MIT
  • Why this server?

    This server uses OCR to extract data from images and PDFs of invoices, which can be adapted for converting paper documents into digital formats.

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    A Python MCP server for invoice and receipt processing that uses OCR technology to extract data from PDFs and images, offering AI assistants the ability to process, extract text from, and merge invoice documents.
    Last updated
    2
  • Why this server?

    Functions as a web browser for LLMs, allowing search similar to ChatGPT, useful for research.

  • Why this server?

    Optimized search capabilities for LLMs, enabling efficient and accurate information retrieval.

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    An MCP server implementation that integrates the Tavily Search API, providing optimized search capabilities for LLMs.
    Last updated
    1
    4
    MIT
  • Why this server?

    Enables listing, reading, and searching files in Google Drive, as well as automatic format conversion of Google Workspace documents, which facilitates accessing study notes and work materials.

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    Integrates with Google Drive to enable listing, reading, and searching over files, with automatic export of Google Workspace documents to appropriate formats.
    Last updated
    7,666
    MIT
  • Why this server?

    Enables performing GitHub operations, such as repository management, file operations, and issue tracking, which could be useful for managing code snippets or project documentation.

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    A Model Context Protocol server that enables AI assistants to perform GitHub operations including repository management, file operations, issue tracking, and pull request creation.
    Last updated
    2
  • Why this server?

    Provides web search functionality via DuckDuckGo, allowing advanced content exploration and navigation, important for research.

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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.
    Last updated
    3
    16
    MIT
  • Why this server?

    Enables AI to create, read, edit, and format Microsoft Word documents, which is useful for organizing and formatting study and work notes.

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    A Model Context Protocol server that enables AI assistants to create, read, edit, and format Microsoft Word documents through standardized tools and resources.
    Last updated
    4
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    2,057
    MIT