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Claude Chunks: Smart Chunking & Adaptive Summaries - MCP Implementation

Claude Chunks: Smart Chunking & Adaptive Summaries

Claude Chunks: Smart document chunking & progressive summaries, optimized for Claude's context window—effortlessly turn massive docs into digestible insights, no manual splitting needed." )

Research And Data
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Ranked in the top 6% of all AI tools in its category

About Claude Chunks

What is Claude Chunks: Smart Chunking & Adaptive Summaries?

Claude Chunks is an optimized Middleware Protocol (MCP) server designed to streamline large document processing for Claude models. It intelligently divides lengthy texts—such as books, research papers, or legal documents—into contextually coherent segments. Each chunk retains critical contextual links while generating adaptive summaries, maximizing Claude's contextual understanding and minimizing redundancy.

How to use Claude Chunks: Smart Chunking & Adaptive Summaries?

  1. Clone the repository and install dependencies via npm
  2. Configure Claude Desktop with the provided MCP server JSON snippet
  3. Invoke the chunk_document tool during conversations to process documents interactively

Restart the application after configuration changes for optimal performance.

Claude Chunks Features

Key Features of Claude Chunks: Smart Chunking & Adaptive Summaries?

  • Dynamic chunk segmentation using semantic analysis for natural section breaks
  • Multi-layered summaries that evolve with processing depth
  • Contextual continuity tracking across document fragments
  • Optimized token usage through adaptive formatting strategies
  • Support for incremental updates and progressive loading

Use cases of Claude Chunks: Smart Chunking & Adaptive Summaries?

Best suited for:

  • Academic research synthesis requiring hierarchical analysis
  • Legal document review with cross-referential dependencies
  • Technical manuals needing term-aware segmentation
  • Iterative content analysis for evolving projects

Claude Chunks FAQ

FAQ from Claude Chunks: Smart Chunking & Adaptive Summaries?

Does it support PDF formats?
Phase 2 development includes multi-format support through plugins
Can I customize chunk sizes?
Custom strategies will be enabled in upcoming releases via configuration parameters
How is context maintained across chunks?
Uses weighted semantic anchors and metadata tracking to preserve narrative flow
What's the licensing model?
Released under MIT License for open modification and commercial use

Content

Claude Chunks

An intelligent document chunking MCP server optimized for Claude context windows. Split large documents into meaningful, context-aware chunks that can be progressively processed by Claude.

Overview

Claude Chunks helps you process large documents (like books, theses, or long papers) by:

  1. Breaking them into meaningful sections
  2. Generating rich summaries of each section
  3. Maintaining context and connections between sections
  4. Formatting output for optimal Claude context reuse

Installation

# Clone the repository
git clone https://github.com/vetlefo/claude-chunks.git
cd claude-chunks

# Install dependencies
npm install

# Build the project
npm run build

Usage with Claude Desktop

  1. Add to Claude Desktop config:
{
  "mcpServers": {
    "claude-chunks": {
      "command": "node",
      "args": ["/path/to/claude-chunks/dist/index.js"]
    }
  }
}
  1. Restart Claude Desktop
  2. Use the chunk_document tool in your conversations

Development Roadmap

Phase 1: Core Functionality

  • Basic MCP server setup
  • Smart document chunking
  • Section summarization
  • Context preservation

Phase 2: Enhancements

  • Multiple document formats
  • Custom chunking strategies
  • Enhanced metadata tracking
  • Claude-optimized formatting

Phase 3: Advanced Features

  • Cross-reference tracking
  • Technical term extraction
  • Theme detection
  • Progressive loading

Contributing

Contributions are welcome! Please see our Contributing Guide for details.

License

MIT

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