Sequential Questioning MCP Server

# Sequential Questioning MCP Server v1.0.0 - Release Notes ## Release Information - **Version**: 1.0.0 - **Release Date**: June 20, 2023 - **Status**: Production Ready ## Overview We are pleased to announce the release of version 1.0.0 of the Sequential Questioning MCP Server. This release marks the completion of all planned features and the readiness of the system for production deployment. The Sequential Questioning MCP Server provides a robust platform for generating adaptive follow-up questions based on user responses, with full integration of the MCP protocol. ## Key Features ### Core Features - **Sequential Question Generation**: Advanced algorithm for generating contextually relevant follow-up questions based on conversation history - **MCP Protocol Integration**: Full support for the MCP protocol for seamless integration with existing systems - **Vector Search Capabilities**: Integration with Qdrant for semantic similarity search of questions and responses - **Conversation Management**: Complete API for creating, retrieving, and managing conversation flows - **High Performance**: Optimized for high throughput and low latency in production environments ### Technical Features - **Modular Architecture**: Clean separation of concerns with domain-driven design principles - **RESTful API**: Comprehensive API built with FastAPI for low-latency communication - **Database Integration**: PostgreSQL for structured data and Qdrant for vector storage - **Containerization**: Docker-based deployment with Kubernetes orchestration - **Monitoring**: Prometheus and Grafana integration for real-time performance tracking - **Horizontal Scaling**: Support for horizontal scaling to handle increasing loads ## Improvements - Enhanced question generation algorithm with improved context awareness - Optimized database queries for faster response times - Reduced memory footprint for high-concurrency scenarios - Comprehensive error handling and fault tolerance ## Deployment The system can be deployed using the provided Kubernetes configurations: ```bash # For development environment kubectl apply -k k8s/overlays/dev # For staging environment kubectl apply -k k8s/overlays/staging # For production environment kubectl apply -k k8s/overlays/prod ``` For detailed deployment instructions, please refer to `docs/final_deployment_plan.md` and `docs/operational_runbook.md`. ## Documentation Comprehensive documentation is available in the `docs` directory: - `architecture.md`: System architecture and component design - `api_reference.md`: Detailed API documentation - `deployment.md`: Deployment guide for various environments - `usage_examples.md`: Examples of common usage scenarios - `load_testing.md`: Performance metrics and load testing results - `operational_runbook.md`: Guide for operating the system in production ## Known Issues - None at the time of release ## Future Roadmap - Enhanced analytics dashboard for question performance - ML-based question optimization based on user engagement - Multi-language support for question generation - Integration with additional vector database providers ## Contributors - DevOps Team - Backend Engineering Team - QA Team ## License This software is proprietary and confidential. Unauthorized copying, distribution, or use is strictly prohibited. --- For any questions or support, please contact the project maintainers at support@example.com.