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Context Crystallizer MCP Server

An AI Context Engineering tool that transforms large repositories into crystallized, AI-understandable knowledge through systematic analysis and optimization, creating searchable knowledge bases for AI agents.

An AI Context Engineering tool that transforms large repositories into crystallized, AI-understandable knowledge through systematic analysis and optimization, creating searchable knowledge bases for AI agents.

Installation

NPM Global

npm install -g context-crystallizer

NPX

npx context-crystallizer

Configuration

Claude Desktop

{
  "mcpServers": {
    "context-crystallizer": {
      "command": "npx",
      "args": ["context-crystallizer"],
      "cwd": "/path/to/your/project"
    }
  }
}

Available Tools

Tool Description
get_crystallization_guidance Get comprehensive analysis guidance with templates and quality standards
init_crystallization Initialize repository crystallization, scan and prepare files
get_next_file_to_crystallize Get the next file for AI analysis in the crystallization process
store_crystallized_context Save generated AI knowledge and crystallized context
get_crystallization_progress Monitor crystallization status and progress
search_crystallized_contexts Find relevant knowledge by functionality or keywords
get_crystallized_bundle Combine multiple contexts within token limits
find_related_crystallized_contexts Discover code relationships and dependencies
search_by_complexity Find contexts by complexity level (low, medium, high)
validate_crystallization_quality Assess context quality with completeness and readability metrics
update_crystallized_contexts Update contexts for modified files and maintain accuracy

Features

  • Functionality search with natural language queries
  • 5:1 compression ratio (source code to crystallized context)
  • AI-optimized format and structured for LLM consumption
  • Smart bundling that combines multiple contexts within token limits
  • Automatic .gitignore compliance and binary file filtering
  • Searchable crystallized knowledge base creation
  • Progress monitoring and quality validation
  • Code file relationship detection
  • Context filtering by complexity

Usage Examples

I need to understand how authentication works in this massive project
What files depend on the authentication system?
How does authentication work in this app?
Show me how the payment system works
What depends on this Auth.tsx file?

Notes

Inspired by AI Distiller, focused on enabling AI agents to generate comprehensive crystallized contexts about functionality, patterns, and relationships. The server should run from the project root directory for integration with AI agents. Crystallized contexts are saved in the .context-crystallizer/ directory.

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