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Techniques for Document Compression and Chunking

  • Why this server?

    This server directly addresses the 'document' aspect of the search by offering document processing capabilities, including converting documents to markdown. While it doesn't explicitly mention compression or chunking, the conversion to markdown can be a preparatory step for further compression or chunking processes.

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    A server that provides document processing capabilities using the Model Context Protocol, allowing conversion of documents to markdown, extraction of tables, and processing of document images.
    6
    Python
    MIT License
    • Linux
    • Apple
  • Why this server?

    Addresses the need for dealing with large documents by providing summarization capabilities, essential when compression alone isn't enough and when chunking is used to break down documents for analysis.

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    Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.
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    24
    TypeScript
    MIT License
  • Why this server?

    Provides vector database capabilities that are often used in conjunction with document chunking for efficient semantic search and retrieval. This allows for processing large documents by breaking them into smaller, manageable chunks.

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    A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
    17
    Python
    MIT License
    • Apple
    • Linux
  • Why this server?

    While it does not directly handle document compression or chunking, this server is still relevant in the context of dealing with many documents, as it enables batching multiple MCP tool calls into a single request, reducing token usage and network overhead.

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    A Model Context Protocol server that provides Claude with comprehensive access to Solana blockchain data via the Helius API, enabling operations like checking wallet balances, retrieving blockchain information, and interacting with tokens and NFTs.
    119
    8
    TypeScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Provides Private Deep Research, Anything-to-Markdown file extraction and text chunking.

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    Vectorize MCP server for advanced retrieval, Private Deep Research, Anything-to-Markdown file extraction and text chunking.
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    17
    JavaScript
    MIT License
    • Apple
    • Linux
  • Why this server?

    Provides chat with codebase through intelligent code searching without embeddings by breaking files into logical chunks.

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    Chat with your codebase through intelligent code searching without embeddings by breaking files into logical chunks, giving the LLM tools to search these chunks, and letting it find specific code needed to answer your questions.
    8
    22
    Python
    MIT License
  • Why this server?

    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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    An MCP server that intelligently chunks large documents for Claude, enabling efficient context-aware processing and summary generation for enhanced document comprehension.
    12
    JavaScript