LumenX-MCP Legal Spend Intelligence Server

# Roadmap - Legal Spend MCP Server This document outlines the future plans and development roadmap for the Legal Spend MCP Server. ## Vision To become the leading open-source Model Context Protocol server for enterprise legal spend intelligence, enabling seamless integration with AI agents and providing actionable insights from diverse legal financial data. ## Current Status The project currently provides core functionality for multi-source data integration (APIs, databases, files) and foundational analytics for legal spend. ## Future Enhancements (Roadmap) Below is a high-level overview of planned features and improvements. This roadmap is subject to change based on community feedback, technological advancements, and resource availability. ### Phase 1: Core Enhancements & Stability (Current - Next 3-6 Months) - [ ] **Improved Data Source Connectors**: - [ ] Enhanced error handling and resilience for all data source integrations. - [ ] Support for additional database types (e.g., SQLite for local development/testing). - [ ] More robust handling of large CSV/Excel files. - [ ] **Performance Optimizations**: - [ ] Investigate and implement performance improvements for large datasets. - [ ] Optimize data loading and processing routines. - [ ] **Expanded Analytics & Reporting**: - [ ] Time-series analysis for spend trends (e.g., month-over-month, year-over-year comparisons). - [ ] Customizable reporting templates. - [ ] **User & Role Management (Basic)**: - [ ] Initial implementation of basic user authentication (e.g., API key management). - [ ] Simple role-based access control for tools/resources. ### Phase 2: Advanced Intelligence & Scalability (Next 6-12 Months) - [ ] **Machine Learning-based Spend Predictions**: - [ ] Implement models for forecasting future legal spend. - [ ] Anomaly detection to flag unusual spending patterns. - [ ] **Enhanced Benchmark Analytics**: - [ ] Integration with external legal industry benchmark data (if available and permissible). - [ ] More sophisticated peer comparison metrics for vendors. - [ ] **GraphQL API Support**: - [ ] Introduce a GraphQL endpoint for more flexible data querying by clients. - [ ] **Real-time Notifications**: - [ ] Webhook or push notification support for spend alerts (e.g., budget overruns). - [ ] **Container Orchestration Support**: - [ ] Helm charts for Kubernetes deployment. - [ ] Docker Compose enhancements for production environments. ### Phase 3: Ecosystem & Community Growth (Long-term) - [ ] **Plugin Architecture**: - [ ] Allow community-contributed data source connectors and analytics modules. - [ ] **Web-based UI (Optional)**: - [ ] Develop a basic web interface for server management and data visualization. - [ ] **Broader MCP Client Compatibility**: - [ ] Ensure seamless integration with a wider range of MCP-compliant clients. ## Contributing to the Roadmap We welcome community input on this roadmap! If you have ideas for new features, improvements, or want to contribute to existing items, please: - Open a [GitHub Issue](https://github.com/DatSciX-CEO/LumenX-MCP/issues) to discuss your ideas. - Participate in [GitHub Discussions](https://github.com/DatSciX-CEO/LumenX-MCP/discussions). - Submit a [Pull Request](CONTRIBUTING.md) with your contributions. Your feedback and contributions are invaluable to the growth and success of LumenX-MCP!