A DBA of PeopleDrivenAI LLC

Professional AI-Powered Data Analytics & Statistical Tools for Modern Development

EmbeddedLayers delivers enterprise-grade statistical and machine learning tools that seamlessly integrate with modern AI development workflows. We bridge the gap between advanced analytics and practical implementation, making sophisticated data analysis accessible through intuitive interfaces.

Professional statistical analysis tools for Claude/Cursor via MCP. Features 50+ ML/statistics tools with OAuth2 security, intelligent tool discovery, and enterprise-grade data processing.

Key Features:

• 🔐 OAuth2 authentication & secure data handling
• 📊 50+ statistical and ML tools
• 🎯 Intelligent tool discovery system
• 📈 Interactive visualization reports
• 🚀 Docker-isolated processing

Core R package for AI-powered predictive analytics and data insights. Provides foundational functionality for statistical modeling and machine learning workflows.

Enterprise-ready PostgreSQL integration for the PDai analytics ecosystem. Optimized for large-scale data processing and real-time analytics.

• Statistical Analysis Tools: Comprehensive suite of regression, classification, clustering, and time series analysis tools
• Machine Learning Integration: Seamless integration with modern ML frameworks and AI assistants
• Enterprise Data Solutions: Scalable, secure analytics infrastructure for production environments
• Developer-First Design: APIs and tools built by developers, for developers

• Languages: Python, R, TypeScript
• Frameworks: FastAPI, Docker, MCP Protocol
• Databases: PostgreSQL, Redis
• Security: OAuth2, JWT, End-to-end encryption
• Infrastructure: Docker, Kubernetes-ready

• Data Science Teams: Accelerate analysis workflows with AI-assisted tools
• Enterprise Analytics: Production-ready statistical processing at scale
• Research & Academia: Robust statistical methods with reproducible results
• AI Development: Enhance Claude/Cursor with advanced analytics capabilities

We welcome contributions from the community! Check out our repositories for:

• 📖 Comprehensive documentation
• 🐛 Issue tracking and feature requests
• 🔄 Pull request guidelines
• 💬 Community discussions

• Website: mcpanalytics.ai
• Email: support@embeddedlayers.com
• Documentation: MCP Analytics Docs