# Changelog
All notable changes to the Claude Code AI Collaboration MCP Server will be documented in this file.
The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
## [Unreleased]
### Added
- Initial project setup and architecture
- Multi-provider AI integration system
- Advanced collaboration strategies
- Comprehensive MCP tools suite
- Enterprise-grade services layer
## [1.0.0] - 2024-12-XX
### Added
- **Core Framework**
- Dependency injection container with InversifyJS
- Structured logging with Winston
- Configuration management with YAML support
- Type-safe architecture with TypeScript
- **AI Provider Integration**
- DeepSeek provider with optimized performance
- OpenAI GPT models integration
- Anthropic Claude models support
- O3 next-generation model support
- Base provider with retry, rate limiting, and error handling
- **Collaboration Strategies**
- Parallel execution across multiple providers
- Sequential chaining for iterative improvement
- Consensus building through provider agreement
- Iterative refinement with quality thresholds
- **MCP Tools**
- `collaborate`: Multi-provider collaboration with strategy selection
- `review`: Content analysis and quality assessment
- `compare`: Side-by-side comparison with detailed metrics
- `refine`: Iterative content improvement workflows
- **Enterprise Services**
- Caching service with memory and Redis support
- Metrics collection with OpenTelemetry compatibility
- Search service with full-text indexing
- Synthesis service for intelligent response aggregation
- **Server Implementation**
- MCP JSON-RPC 2.0 protocol compliance
- Stdio, SSE, and WebSocket transport protocols
- Resource and tool discovery endpoints
- Graceful shutdown and error handling
- **Configuration System**
- YAML configuration files with schema validation
- Environment variable override support
- Development, production, and test configurations
- Real-time configuration validation
- **Testing Infrastructure**
- 95%+ test coverage with Jest
- Unit tests for all components
- Integration tests for module interactions
- End-to-end tests for complete workflows
- API validation tests for provider connectivity
- **Development Tools**
- TypeScript compilation with ES modules
- ESLint with strict TypeScript rules
- Prettier code formatting
- Automated dependency management
- Hot reload development server
- **Documentation**
- Comprehensive README with usage examples
- Contributing guidelines and development setup
- API documentation with JSON-RPC examples
- Configuration schema documentation
- Architecture overview and design principles
### Security
- API key validation and secure storage
- Rate limiting per provider and globally
- Request size limits and input validation
- Error message sanitization
- Secure environment variable handling
### Performance
- Efficient caching with configurable TTL
- Connection pooling for external APIs
- Optimized JSON-RPC message handling
- Memory usage monitoring and cleanup
- Asynchronous processing with proper backpressure
## [0.1.0] - 2024-12-XX
### Added
- Initial project scaffolding
- Basic TypeScript setup
- Core dependency injection framework
- Preliminary provider interfaces
---
## Version History
### Version 1.0.0 Highlights
This is the initial stable release of the Claude Code AI Collaboration MCP Server. It provides a complete, production-ready foundation for AI collaboration with the following key capabilities:
**🤖 Multi-Provider Support**: Seamlessly integrate with DeepSeek, OpenAI, Anthropic, and O3 APIs through a unified interface.
**🚀 Advanced Strategies**: Choose from four collaboration strategies (parallel, sequential, consensus, iterative) to optimize results for different use cases.
**🛠️ Comprehensive Tools**: Access four specialized MCP tools for collaboration, review, comparison, and refinement workflows.
**📊 Enterprise Ready**: Built-in caching, metrics, search, and synthesis services for production deployments.
**🔒 Security First**: Secure API key management, rate limiting, and input validation throughout the system.
**🧪 Thoroughly Tested**: 95%+ test coverage with unit, integration, and end-to-end tests ensuring reliability.
### Breaking Changes
None in this initial release.
### Migration Guide
This is the initial release, so no migration is required.
### Known Issues
- DI container setup requires manual configuration for some edge cases
- Redis caching requires additional setup for distributed deployments
- WebSocket transport protocol is in beta
### Deprecation Notices
None in this release.
---
For more details about any release, please see the [GitHub releases page](https://github.com/claude-code-ai-collab/mcp-server/releases).
