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How to fill sections of a document using content from multiple other documents

  • Why this server?

    This server provides document processing, including reading, converting, and manipulating various document formats, which is essential for extracting content from multiple documents.

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    Provides comprehensive document processing, including reading, converting, and manipulating various document formats with advanced text and HTML processing capabilities.
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    5
    TypeScript
    MIT License
  • Why this server?

    This server intelligently chunks large documents for Claude, enabling efficient context-aware processing, which is useful when dealing with multiple documents to avoid context window limitations.

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    An MCP server that intelligently chunks large documents for Claude, enabling efficient context-aware processing and summary generation for enhanced document comprehension.
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    JavaScript
  • Why this server?

    This server converts webpages into clean, structured Markdown, optimizing them for language model consumption, which can help to convert external documents into a useable format to fill sections in a main document.

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    This server converts webpages into clean, structured Markdown optimized for language model consumption, removing unnecessary content and supporting JavaScript rendering.
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    5
    JavaScript
    MIT License
    • Apple
  • Why this server?

    This server converts various file formats to Markdown, enabling seamless document processing and conversion.

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    Converts various file formats to Markdown using the MarkItDown utility and can be integrated with MCP clients for seamless document processing and conversion.
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    Python
    MIT License
  • Why this server?

    This server allows LLMs to interact directly with documents through agentic RAG and hybrid search in LanceDB, making it suitable for asking questions about datasets or specific documents.

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    A Model Context Protocol (MCP) server that enables LLMs to interact directly the documents that they have on-disk through agentic RAG and hybrid search in LanceDB. Ask LLMs questions about the dataset as a whole or about specific documents.
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    TypeScript
    MIT License
    • Apple
  • Why this server?

    This server converts various file types and web content to Markdown format.

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    Converts various file types and web content to Markdown format. It provides a set of tools to transform PDFs, images, audio files, web pages, and more into easily readable and shareable Markdown text.
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    987
    TypeScript
    MIT License
  • Why this server?

    This server provides a unified interface to interact with Firebase services, including Authentication, Firestore, and Storage.

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    A powerful MCP server for fetching and transforming web content into various formats (HTML, JSON, Markdown, Plain Text) with ease.
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    12
    TypeScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, PDF, DOCX (.docx), csv and more.

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    MCP server for seamless document format conversion using Pandoc, supporting Markdown, HTML, PDF, DOCX (.docx), csv and more.
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    104
    Python
    MIT License
    • Apple
  • Why this server?

    Enables users to control Govee LED devices using the Govee API, with features for turning devices on/off, setting colors, and adjusting brightness through a CLI or MCP clients.

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    Enables users to control Govee LED devices using the Govee API, with features for turning devices on/off, setting colors, and adjusting brightness through a CLI or MCP clients.
    2
    Python
    MIT License