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Drydock

An agentic toolchest for deconstructing, analyzing, and reconstructing software architectures.

  • MCP Server Included

    Plug into Claude Code, Cursor, or VS Code. Your AI assistant gets architecture analysis as native tool calls.

    MCP Setup

  • Pure Python, Zero Deps

    Every analyzer is stdlib-only. Clone and run — no pip install, no virtual environment, no build step.

    Installation

  • Boundary Detection

    One command tells you exactly which components can be safely extracted with zero dependency risk.

    Boundary Detector

  • JSON-First Output

    All tools default to structured JSON for AI consumption. Add --markdown for human-readable reports.

    CLI Usage

What It Does

Drydock analyzes codebases and produces structured intelligence that AI agents (or humans) can act on:

# One command — understand an entire project
python Tools/analyzers/context_compiler.py /path/to/project -o context.json

{
  "summary": {
    "total_source_files": 8,
    "clusters_found": 1,
    "bridge_files": 0
  },
  "extraction_suggestions": [
    {
      "name": "core",
      "files": 6,
      "extraction_risk": "low",
      "reason": "No external dependencies - clean extraction"
    }
  ]
}

Language Support

Language Code Map Interfaces Boundaries Dependencies
Python Full AST Full AST imports AST + stdlib
JS/TS Regex Regex imports package.json
Rust Regex Regex use/mod Cargo.toml
Go Regex Regex imports go.mod
C# Regex Partial — —
Java Regex Partial — —