Code Time Machine MCP Server
Allows AI assistants to navigate through git repository history, analyze code evolution, perform code archaeology, and detect patterns in code changes.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Code Time Machine MCP Servershow me what this repo looked like 6 months ago"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: Git Helper MCP
Installation
Automated Setup (Recommended)
Windows:
# Run the automated setup script
./setup.bat
# OR
./manual-setup.batManual Setup:
Install dependencies:
cd C:\Ashlesha\code-time-machine-mcp
npm installTest the setup:
node test-setup.jsMake sure Git is installed and accessible:
git --versionConfiguration
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
time_travel: Navigate to specific points in repository history
analyze_evolution: Track how files or functions evolved over time
find_code_introduction: Find when and why specific code was introduced
compare_implementations: Compare code implementations across time periods
archaeology_report: Generate comprehensive code archaeology reports
visualize_code_ownership: Show code ownership evolution
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 fileExtending the Server
To add new analysis capabilities:
Create a new tool in the
toolsobjectImplement the analysis logic
Add appropriate caching if needed
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
"Git not found" error: Ensure Git is installed and in your PATH
Permission errors: Make sure you have read access to the repositories
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
Fork the repository
Create a feature branch (
git checkout -b feature/amazing-feature)Commit your changes (
git commit -m 'Add amazing feature')Push to the branch (
git push origin feature/amazing-feature)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.
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
- Your AI Chatbot Just Exposed Your CEO's Salary to an InternBy Om-Shree-0709 on .Agent IdentityMCP SecurityOAuth Delegation
- Why MCP Servers Need Execution Sandboxing (And Why Your Current Stack Isn't Enough)By Om-Shree-0709 on .Agentic AiPrompt InjectionWebAssembly
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/jprbom/code-time-machine-mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server