TheAlchemist6/codecompass-mcp
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CodeCompass MCP is an enterprise-grade Model Context Protocol server designed for intelligent repository analysis and AI-powered development assistance.
CodeCompass MCP
Enterprise-grade Model Context Protocol (MCP) Server for intelligent repository analysis and AI-powered development assistance.
Connect your development tools to comprehensive GitHub repository analysis with 11 streamlined tools, enhanced error handling, real-time monitoring, and production-ready deployment.
⨠Features
- š Comprehensive Repository Analysis - Deep insights into code structure, dependencies, and architecture
- š¤ AI-Powered Code Review - Intelligent code analysis with OpenRouter integration (400+ models)
- š Production-Ready Deployment - Docker containers with security best practices
- š Real-time Monitoring - Performance metrics, health checks, and observability
- š”ļø Enterprise Security - Input validation, path traversal prevention, and secure processing
- ā” High Performance - Intelligent chunking, concurrent processing, and response optimization
- š§ Developer Experience - Comprehensive documentation, examples, and debugging tools
š Quick Start
Step-by-Step Docker Setup (Recommended)
1. Clone and Navigate
git clone https://github.com/TheAlchemist6/codecompass-mcp.git
cd codecompass-mcp
Expected output:
Cloning into 'codecompass-mcp'...
remote: Enumerating objects: 53, done.
remote: Total 53 (delta 0), reused 0 (delta 0), pack-reused 53
Receiving objects: 100% (53/53), 259.84 KiB | 1.85 MiB/s, done.
2. Configure Environment
cp .env.example .env
# Edit .env with your real API keys
nano .env # or use your preferred editor
Required in .env
file:
GITHUB_TOKEN=ghp_your_actual_github_token_here
OPENROUTER_API_KEY=sk-or-v1-your_actual_openrouter_key_here
š Where to get API keys:
- GitHub Token: github.com/settings/tokens ā Generate new token (classic) ā Select
repo
scope - OpenRouter Key: openrouter.ai/keys ā Create new API key
3. Build and Run
./scripts/docker-build.sh
./scripts/docker-run.sh --env-file .env
Expected output:
ā
Build successful
Image information:
REPOSITORY TAG IMAGE ID CREATED SIZE
codecompass-mcp latest a1b2c3d4e5f6 2 seconds ago 278MB
š Starting CodeCompass MCP server...
ā
Server started successfully
Health check: healthy
API limits: 5000/hour remaining
4. Test Installation
# Test with health check
echo '{"jsonrpc": "2.0", "id": 1, "method": "tools/call", "params": {"name": "health_check"}}' | docker exec -i codecompass-mcp node build/index.js
Platform Support
- ā Linux (Ubuntu 18.04+, CentOS 7+)
- ā macOS (10.14+, Intel & Apple Silicon)
- ā Windows (10/11 with Docker Desktop)
Alternative Installation Methods
Local Development
# Install dependencies
npm install
# Set environment variables
export GITHUB_TOKEN=your_github_token
export OPENROUTER_API_KEY=your_openrouter_key
# Build and run
npm run build && npm run dev
Global Installation
npm install -g codecompass-mcp
codecompass-mcp --help
š§ Configuration
Required Environment Variables
GITHUB_TOKEN=ghp_your_github_token_here # GitHub API access
OPENROUTER_API_KEY=sk-or-v1-your_key_here # OpenRouter API access
Optional Configuration
AI_MODEL=anthropic/claude-3.5-sonnet # Default AI model
MAX_RESPONSE_TOKENS=25000 # Response size limit
LOG_LEVEL=info # Logging level
NODE_ENV=production # Environment mode
š ļø Available Tools
Core Data Tools (6 tools)
get_repository_info
- Repository metadata, statistics, and key informationget_file_tree
- Complete directory structure and file listing with filteringsearch_repository
- Advanced search with regex patterns and filteringget_file_content
- Batch file processing with security validation and metadataanalyze_dependencies
- Dependency graph analysis and vulnerability detectionanalyze_codebase
- Comprehensive structure, architecture, and metrics analysis
AI-Enhanced Tools (3 tools)
review_code
- AI-powered code review with security, performance, and maintainability insightsexplain_code
- Natural language code explanations and documentation generationsuggest_improvements
- Intelligent refactoring recommendations and modernization strategies
Transformation Tools (1 tool)
transform_code
- Code transformation, modernization, and migration assistance
Utility Tools (1 tool)
health_check
- System health monitoring and performance metrics
š³ Docker Integration
Production Deployment
# Build production image
./scripts/docker-build.sh
# Run with environment file
./scripts/docker-run.sh --env-file .env
# View logs
./scripts/docker-logs.sh -f --timestamps
Docker Compose
version: '3.8'
services:
codecompass-mcp:
build: .
container_name: codecompass-mcp
restart: unless-stopped
environment:
- GITHUB_TOKEN=${GITHUB_TOKEN}
- OPENROUTER_API_KEY=${OPENROUTER_API_KEY}
- NODE_ENV=production
healthcheck:
test: ["CMD", "node", "-e", "console.log('Health check')"]
interval: 30s
timeout: 10s
retries: 3
MCP Client Integration
Claude Desktop Configuration
Add to your Claude Desktop configuration file:
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%\Claude\claude_desktop_config.json
{
"mcpServers": {
"codecompass": {
"command": "docker",
"args": [
"exec", "-i", "codecompass-mcp",
"node", "build/index.js"
],
"env": {
"GITHUB_TOKEN": "your_github_token_here",
"OPENROUTER_API_KEY": "your_openrouter_key_here"
}
}
}
}
Then restart Claude Desktop and you'll see CodeCompass tools available in the UI.
Claude Code CLI Integration
# Add MCP server to Claude Code
claude mcp add codecompass-docker -s user -- \
docker exec -i codecompass-mcp node build/index.js
Other MCP Clients
- Cline (VS Code): Add to MCP configuration
- Continue (VS Code/JetBrains): Configure as MCP provider
- Custom clients: Use
stdio
transport withnode build/index.js
Testing Integration
# Test the connection
echo '{"jsonrpc": "2.0", "id": 1, "method": "tools/list"}' | docker exec -i codecompass-mcp node build/index.js
# Should return list of 11 tools
š Monitoring & Observability
Real-time Dashboard
# Interactive monitoring dashboard
./scripts/monitor.js --watch
# Export metrics
./scripts/monitor.js --export > metrics.json
# Health check
curl -X POST http://localhost:3000/health
Performance Metrics
- Response Times: <100ms for health checks, 2-10s for repository analysis
- Memory Usage: 50-200MB depending on repository size
- Concurrent Processing: Configurable limits with automatic scaling
- Error Tracking: Comprehensive error monitoring with contextual suggestions
Health Monitoring
{
"name": "health_check",
"arguments": {
"checks": ["api-limits", "monitoring", "configuration"],
"options": {
"include_metrics": true,
"include_insights": true
}
}
}
š Usage Examples
Repository Analysis
{
"name": "fetch_repository_data",
"arguments": {
"url": "https://github.com/microsoft/typescript",
"options": {
"include_structure": true,
"include_dependencies": true,
"max_files": 100,
"chunk_mode": true
}
}
}
AI Code Review
{
"name": "ai_code_review",
"arguments": {
"url": "https://github.com/your-org/your-repo",
"file_paths": ["src/main.ts", "src/utils/"],
"review_focus": ["security", "performance", "maintainability"],
"options": {
"ai_model": "anthropic/claude-3.5-sonnet",
"severity_threshold": "medium"
}
}
}
Batch File Processing
{
"name": "get_file_content",
"arguments": {
"url": "https://github.com/your-org/your-repo",
"file_paths": ["src/", "docs/", "tests/"],
"options": {
"max_concurrent": 10,
"include_metadata": true,
"continue_on_error": true
}
}
}
šļø Architecture
Service-Oriented Design
MCP Client ā MCP Server ā Service Layer ā External APIs
ā
Monitoring & Logging
Key Components
- MCP Server: JSON-RPC protocol handling with 11 streamlined tools
- Service Layer: GitHub API, OpenRouter integration, and business logic
- Configuration: Centralized, type-safe configuration with Zod validation
- Monitoring: Real-time performance tracking and health monitoring
- Security: Input validation, path traversal prevention, and secure processing
š Security Features
Input Validation
- Zod Schema Validation: Type-safe input validation for all tools
- Path Traversal Prevention: Comprehensive file path security checks
- Rate Limiting: Configurable request rate limiting and throttling
- API Key Management: Secure environment variable handling
Container Security
- Non-root Execution: All containers run as unprivileged users
- Read-only Filesystems: Security-focused container configuration
- Resource Limits: Memory and CPU constraints for stability
- Health Checks: Automated health monitoring and recovery
šÆ Performance Optimization
Intelligent Response Management
- Chunking: Large responses split into manageable chunks
- Truncation: Smart truncation preserving data structure
- Concurrent Processing: Parallel file processing with configurable limits
- Caching: Intelligent caching strategies for frequently accessed data
Resource Management
- Memory Efficiency: Optimized memory usage with automatic cleanup
- Request Tracking: Correlation IDs for distributed tracing
- Performance Insights: Automated performance analysis and recommendations
- Scalability: Horizontal scaling ready with Docker containers
š Documentation
Complete Documentation Suite
- - Installation and configuration instructions
- - Complete tool documentation with examples
- - Container deployment and management
- - Observability and performance monitoring
- - Technical architecture and patterns
Examples and Templates
- - Real-world usage patterns and templates
- - MCP client integration examples
- - Production-ready configuration examples
š¤ Contributing
We welcome contributions! Please see our for details on:
- Development setup and workflow
- Code style and testing requirements
- Pull request process and guidelines
- Bug reporting and feature requests
Development Setup
# Clone and setup
git clone https://github.com/your-org/codecompass-mcp.git
cd codecompass-mcp
# Install dependencies
npm install
# Run tests
npm test
# Start development server
npm run dev:watch
š Roadmap
Current Version (1.0.0)
- ā 11 streamlined, atomic tools with clear responsibilities
- ā Production-ready Docker deployment
- ā Real-time monitoring and observability
- ā Enterprise security features
- ā Complete documentation suite
Future Enhancements
- š® Conversational Context Management - Session state and conversation history
- š® Advanced Caching - Redis-based caching with intelligent invalidation
- š® Plugin System - Extensible architecture for custom tools
- š® Multi-language Support - Expanded language support beyond TypeScript/JavaScript
- š® Kubernetes Integration - Native Kubernetes deployment with Helm charts
š License
This project is licensed under the MIT License - see the file for details.
š Acknowledgments
- OpenRouter MCP - Architecture patterns and best practices inspiration
- MCP Protocol - Foundation for tool integration and communication
- Anthropic - Claude AI integration and development support
- GitHub - Repository analysis and API integration
- Docker - Containerization and deployment infrastructure
š Support
Getting Help
- Documentation: Check our comprehensive documentation in the
docs/
directory - Issues: Report bugs and request features on GitHub Issues
- Discussions: Join community discussions on GitHub Discussions
Common Issues
- API Key Setup: See
- Docker Issues: Check
- Performance: Review
š Built With
- TypeScript - Type-safe JavaScript development
- Node.js - JavaScript runtime environment
- Docker - Containerization platform
- Zod - TypeScript-first schema validation
- MCP SDK - Model Context Protocol implementation
Made with š by Myron Labs
Transform your development workflow with intelligent repository analysis and AI-powered code insights.