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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

Enables AI assistants like Claude to navigate git repository history, providing insights into code evolution and helping understand legacy systems.

README.md

Code Time Machine MCP Server

A revolutionary MCP (Model Context Protocol) server that allows AI assistants like Claude to navigate through git repository history like a time machine, providing deep insights into code evolution and helping understand legacy systems.

Features

  • Time Travel Navigation: Navigate to any point in repository history by date, commit, tag, or relative time
  • Code Evolution Analysis: Track how files and functions evolved over time with detailed metrics
  • Code Archaeology: Understand why code was written, who contributed, and how it changed
  • Pattern Detection: Identify architectural shifts, refactoring patterns, and technical debt
  • AI-Powered Insights: Get intelligent analysis of code changes and recommendations
  • Visual Timeline: Generate visual representations of code evolution
  • Ownership Tracking: See how code ownership evolved over time

Installation

Automated Setup (Recommended)

Windows: ```bash

Run the automated setup script

./setup.bat

OR

./manual-setup.bat ```

Manual Setup:

  1. Install dependencies:
cd C:\Ashlesha\code-time-machine-mcp
npm install
  1. Test the setup:
node test-setup.js
  1. Make sure Git is installed and accessible:
git --version

Configuration

For Claude Desktop

Add to your Claude Desktop configuration file:

Windows: %APPDATA%\Claude\claude_desktop_config.json macOS: ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "code-time-machine": {
      "command": "node",
      "args": ["C:/path/to/code-time-machine-mcp/src/index.js"],
      "env": {
        "DEFAULT_REPO_PATH": "C:/path/to/your/projects"
      }
    }
  }
}

Usage

Once configured, you can use Claude to explore your code repositories through time:

Time Travel

  • "Show me what this repository looked like 6 months ago"
  • "Navigate to the commit where user authentication was added"
  • "Take me to January 1st, 2023 in the codebase"
  • "Go back 30 days in the repository history"

Code Evolution

  • "How has the authentication module evolved over the past year?"
  • "Show me all changes to the payment processing system"
  • "Track the evolution of the UserController class"
  • "When was error handling added to this function?"

Code Archaeology

  • "Generate an archaeology report for the database layer"
  • "Who has contributed most to this file?"
  • "Why was this code written this way?"
  • "What major architectural decisions were made?"

Pattern Analysis

  • "Detect architectural shifts in the codebase"
  • "Find all major refactorings in the last 6 months"
  • "Identify technical debt accumulation areas"
  • "Show me code ownership patterns"

Available Tools

  1. time_travel: Navigate to specific points in repository history
  2. analyze_evolution: Track how files or functions evolved over time
  3. find_code_introduction: Find when and why specific code was introduced
  4. compare_implementations: Compare code implementations across time periods
  5. archaeology_report: Generate comprehensive code archaeology reports
  6. visualize_code_ownership: Show code ownership evolution
  7. detect_architectural_shifts: Identify major architectural changes

Tool Examples

Time Travel

Input: {
  "repo_path": "/path/to/repo",
  "destination": {
    "type": "date",
    "date": "2023-06-15"
  }
}

Analyze Evolution

Input: {
  "repo_path": "/path/to/repo",
  "file_path": "src/auth/UserController.js",
  "time_range": {
    "from": "2023-01-01",
    "to": "2023-12-31"
  }
}

Code Archaeology

Input: {
  "repo_path": "/path/to/repo",
  "target_path": "src/database/",
  "depth": "deep",
  "include_contributors": true
}

Advanced Features

Caching

The server includes intelligent caching to improve performance when analyzing large repositories.

Pattern Recognition

  • Identifies common refactoring patterns
  • Detects code smells and technical debt
  • Recognizes architectural patterns

AI Integration

The server prepares data in a format optimized for AI analysis, allowing Claude to:

  • Generate insights about code quality
  • Suggest refactoring opportunities
  • Explain complex code evolution
  • Predict future maintenance needs

Development

Project Structure

code-time-machine-mcp/
├── src/
│   ├── index.js            # Main server file
│   ├── tools/              # Individual tool implementations
│   ├── analyzers/          # Code analysis utilities
│   └── utils/              # Helper functions
├── cache/                  # Analysis cache (gitignored)
├── .env                    # Environment variables (gitignored)
├── .gitignore              # Git ignore file
├── package.json            # Project dependencies
└── README.md               # This file

Extending the Server

To add new analysis capabilities:

  1. Create a new tool in the tools object
  2. Implement the analysis logic
  3. Add appropriate caching if needed
  4. Update the documentation

Performance Considerations

  • Large repositories may take time to analyze initially
  • Caching significantly improves subsequent analyses
  • Consider using shallow clones for very large repositories
  • The server respects Git's performance optimizations

Troubleshooting

Common Issues

  1. "Git not found" error: Ensure Git is installed and in your PATH
  2. Permission errors: Make sure you have read access to the repositories
  3. Memory issues: For large repos, increase Node.js memory limit:
   node --max-old-space-size=4096 src/index.js

Roadmap

  • [ ] Support for multiple repository comparison
  • [ ] Integration with code quality metrics
  • [ ] Machine learning models for code prediction
  • [ ] Support for other version control systems (SVN, Mercurial)
  • [ ] Real-time repository monitoring
  • [ ] Advanced visualization exports
  • [ ] Integration with CI/CD insights

Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

  • Built with the Model Context Protocol SDK
  • Powered by simple-git for Git operations
  • Uses diff and parse-diff for code analysis

Support

For issues, questions, or suggestions, please open an issue on GitHub.

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