Git Analytics MCP Server
# Git Analytics MCP Server
π A comprehensive Model Context Protocol (MCP) server that provides detailed Git repository analytics and insights. Perfect for developers who want to understand their codebase better through data-driven insights.
## π Features
### Repository Analytics
- **Comprehensive Stats**: Total commits, authors, branches, and code changes
- **Author Analysis**: Contributor rankings, commit patterns, and activity periods
- **Branch Intelligence**: Branch health, ahead/behind status, and activity metrics
- **File Insights**: Most modified files, author contributions per file
- **Temporal Analysis**: Commit frequency, code churn over time
- **Visual Reports**: Beautifully formatted terminal output with colors and emojis
### Available Tools
1. **`get_repository_overview`** - Executive summary with key metrics and top contributors
2. **`get_repository_stats`** - Detailed repository statistics
3. **`get_author_stats`** - Complete contributor analysis
4. **`get_branch_stats`** - Branch health and comparison metrics
5. **`get_file_stats`** - File modification patterns and hotspots
6. **`get_commit_history`** - Detailed commit timeline with filters
7. **`get_commit_frequency`** - Daily commit patterns over time
8. **`get_code_churn`** - Lines added/removed analysis
## π Installation
### Prerequisites
- Node.js 18+
- npm or yarn
- Git repository to analyze
### Quick Setup
```bash
# Clone or create the project
cd ~/git-analytics-mcp-server
# Install dependencies
npm install
# Build the project
npm run build
# Test the server (optional)
npm test
```
### Development Mode
```bash
# Run in development with auto-reload
npm run dev
```
## π Usage
### As MCP Server
Add to your MCP client configuration:
```json
{
"mcpServers": {
"git-analytics": {
"command": "node",
"args": ["/path/to/git-analytics-mcp-server/dist/index.js"]
}
}
}
```
### Direct CLI Usage
```bash
# Install globally
npm install -g .
# Use anywhere
git-analytics-mcp
```
## π Example Analytics
### Repository Overview
```
π REPOSITORY SUMMARY REPORT
ββββββββββββββββββββββββββββββββββββββββββββββββββ
Repository Statistics:
β’ Total Commits: 1,247
β’ Total Authors: 12
β’ Active Branches: 8
β’ Code Changes: +45,678 -12,345
β’ Repository Age: 2023-01-15 to 2024-06-15
Top Contributors:
π₯ John Doe - 456 commits
π₯ Jane Smith - 234 commits
π₯ Bob Wilson - 189 commits
π
Alice Brown - 145 commits
π
Mike Johnson - 123 commits
Recent Activity:
β’ a1b2c3d4 Add new authentication module (John Doe)
β’ e5f6g7h8 Fix critical security vulnerability (Jane Smith)
β’ i9j0k1l2 Update documentation and examples (Bob Wilson)
```
### Author Analysis
```json
[
{
"name": "John Doe",
"email": "john@example.com",
"commits": 456,
"insertions": 12340,
"deletions": 3456,
"firstCommit": "2023-01-15T10:30:00Z",
"lastCommit": "2024-06-15T14:22:00Z"
}
]
```
### Code Churn Analysis
```json
[
{
"date": "2024-06-01",
"insertions": 234,
"deletions": 45,
"net": 189
},
{
"date": "2024-06-02",
"insertions": 156,
"deletions": 89,
"net": 67
}
]
```
## π§ Configuration
### Tool Parameters
Most tools accept these common parameters:
- **`path`** (string): Repository path (default: current directory)
- **`days`** (number): Time range for analysis (default: 30)
- **`limit`** (number): Maximum results to return (default: 50)
### Environment Variables
```bash
# Set default repository path
export GIT_ANALYTICS_DEFAULT_PATH="/path/to/repo"
# Enable debug logging
export GIT_ANALYTICS_DEBUG=true
```
## π§ͺ Testing
```bash
# Run all tests
npm test
# Run with coverage
npm run test:coverage
# Test specific functionality
npm run test -- --grep "author stats"
```
### Test Repository Setup
```bash
# Create test repository
mkdir test-repo && cd test-repo
git init
echo "# Test" > README.md
git add . && git commit -m "Initial commit"
# Test the server
node dist/index.js
```
## π Use Cases
### Development Team Analytics
- **Code Review Insights**: Identify files that need more attention
- **Team Productivity**: Track commit patterns and contribution metrics
- **Technical Debt**: Find files with high churn rates
- **Onboarding**: Understand codebase structure and key contributors
### Project Management
- **Release Planning**: Analyze recent development velocity
- **Resource Allocation**: Identify knowledge silos and areas needing support
- **Quality Metrics**: Track code stability through churn analysis
- **Timeline Analysis**: Understand development patterns and cycles
### Repository Health
- **Branch Management**: Identify stale or problematic branches
- **File Hotspots**: Find files that may need refactoring
- **Contributor Onboarding**: Welcome new team members with context
- **Historical Analysis**: Learn from past development patterns
## π Advanced Features
### Custom Analytics
Extend the server with custom analytics:
```typescript
// Add to git-analytics.ts
async getCustomMetric(): Promise<CustomMetric> {
// Your custom analysis logic
}
```
### Integration Examples
```bash
# Use with GitHub CLI
gh repo list | xargs -I {} git-analytics-mcp --path {}
# Batch analysis
find ~/projects -name ".git" -type d | \
xargs -I {} dirname {} | \
xargs -I {} git-analytics-mcp --path {}
```
## π Troubleshooting
### Common Issues
**"Invalid Git repository"**
- Ensure you're in a Git repository or provide correct path
- Check Git installation: `git --version`
**"Permission denied"**
- Verify read access to repository
- Check file permissions on .git directory
**"No commits found"**
- Repository may be empty or newly initialized
- Try with a repository that has commits
### Debug Mode
```bash
# Enable verbose logging
DEBUG=git-analytics:* npm start
# Check server connectivity
echo '{}' | node dist/index.js
```
## π€ Contributing
1. Fork the repository
2. Create feature branch: `git checkout -b feature/amazing-feature`
3. Commit changes: `git commit -m 'Add amazing feature'`
4. Push to branch: `git push origin feature/amazing-feature`
5. Open Pull Request
### Development Setup
```bash
# Install dev dependencies
npm install
# Run in watch mode
npm run dev
# Lint code
npm run lint
# Format code
npm run format
```
## π License
MIT License - see [LICENSE](LICENSE) file for details.
## π Acknowledgments
- [Model Context Protocol](https://github.com/modelcontextprotocol) for the excellent framework
- [simple-git](https://github.com/steveukx/git-js) for Git operations
- [chalk](https://github.com/chalk/chalk) for beautiful terminal output
- [date-fns](https://date-fns.org/) for date manipulation
---
**Happy Analyzing! πβ¨**
For questions, issues, or feature requests, please open an issue on GitHub.
# MCP-Server
# MCP-Server
TDQS
Scored across 3 tools
The tools have significant overlap in purpose, making them hard to distinguish. Both get_repository_overview and get_repository_stats appear to provide repository-level statistics, with get_repository_stats explicitly mentioning 'commits, authors, branches, and code changes' while get_repository_overview mentions 'stats, top contributors, and recent activity'βthese descriptions suggest substantial redundancy. The only clearly distinct tool is get_author_stats, which focuses on contributor-level data.
All tool names follow a consistent verb_noun pattern using snake_case (get_author_stats, get_repository_overview, get_repository_stats). The naming is predictable and readable, with 'get' as the verb and descriptive nouns, showing no deviations in style or convention.
With only 3 tools, the server feels thin for a 'Git Analytics' domain, which typically involves more granular operations like trend analysis, commit filtering, or branch comparisons. While 3 tools can be appropriate for a minimal scope, the overlapping descriptions suggest this might be under-scoped, lacking depth in analytical capabilities.
The tool set is severely incomplete for a Git analytics server. It only provides 'get' operations for statistics, with no tools for filtering, comparing, trending, or analyzing specific aspects like code churn, hot spots, or temporal patterns. This limits agents to basic retrieval without supporting deeper analytical workflows, creating significant gaps in functionality.