Projects
This portfolio represents a collection of production-grade open source projects that demonstrate advanced software engineering practices and innovative approaches to complex technical challenges. Each project reflects systematic problem-solving methodologies and architectural decisions informed by years of experience building scalable systems.
Featured Projects
đĻ AT Protocol MCP Server
Bluesky and AT Protocol Integration for AI Systems A comprehensive Model Context Protocol server that provides LLMs with direct access to the AT Protocol ecosystem, enabling seamless interaction with Bluesky and other AT Protocol-based social networks.
AT Protocol MCP Server
The AT Protocol MCP Server represents a breakthrough in AI-powered social media integration, providing LLMs with comprehensive access to the AT Protocol ecosystem including Bluesky and other decentralized social networks. This implementation bridges the gap between artificial intelligence and next-generation social protocols, offering both unauthenticated public data access and full authenticated functionality for complete social networking operations.
The project demonstrates sophisticated protocol integration patterns, intelligent caching strategies, and production-ready architecture optimized for enterprise deployment. Built with TypeScript using the official @atproto/api SDK, it provides a complete MCP implementation with resources, tools, and real-time streaming capabilities for comprehensive social network interaction and analysis.
- Zero-Configuration Access: Works out-of-the-box without authentication for public data access, perfect for LLM clients requiring immediate AT Protocol integration
- Comprehensive Protocol Support: Full AT Protocol implementation including posts, profiles, feeds, timelines, notifications, and real-time streaming
- Production-Ready Architecture: Enterprise-grade features including Docker deployment, Kubernetes support, monitoring, and comprehensive security hardening
- Development Status: đĸ Active development with expanding AT Protocol feature coverage and production deployment capabilities
đ ActivityPub MCP Server
Fediverse Integration for AI Systems A comprehensive Model Context Protocol server that enables LLMs to explore and interact with the Fediverse through standardized ActivityPub integration.
ActivityPub MCP Server
The ActivityPub MCP Server represents a breakthrough in AI-powered social network interaction, enabling LLMs to explore and analyze the decentralized Fediverse through standardized ActivityPub integration. This comprehensive implementation bridges the gap between artificial intelligence and decentralized social networks, providing secure, efficient access to the rich ecosystem of Mastodon, Pleroma, Misskey, and other ActivityPub-compatible platforms.
The project demonstrates sophisticated WebFinger discovery, cross-instance communication patterns, and intelligent caching strategies optimized for the distributed nature of the Fediverse. Built with TypeScript and designed specifically for LLM interaction patterns, it provides a complete MCP implementation with resources, tools, and prompts for comprehensive social network analysis.
- Protocol Innovation: First comprehensive MCP server for ActivityPub, enabling AI systems to navigate decentralized social networks
- Technical Sophistication: Advanced WebFinger discovery, intelligent caching, and cross-platform compatibility
- Security Focus: Comprehensive input validation, rate limiting, and privacy-preserving interaction patterns
- Development Status: đĸ Active development with expanding Fediverse protocol support
đ Gopher MCP Server
Legacy Protocol Integration for Modern AI Infrastructure A modern Model Context Protocol server for Gopher and Gemini protocols, enabling AI assistants to browse these classic internet protocols safely and efficiently.
Gopher MCP Server
The Gopher MCP Server demonstrates how legacy network protocols can provide valuable architectural insights for modern AI systems. This implementation bridges the gap between minimalist protocol design from the early internet era and contemporary AI infrastructure requirements.
The project showcases protocol abstraction patterns, efficient network handling, and the integration of historical internet technologies with cutting-edge AI tooling. Built with Rust to ensure memory safety and performance characteristics suitable for production deployment.
- Architectural Insights: Legacy protocols demonstrate superior performance characteristics through minimalist design principles
- Technical Innovation: Enables AI systems to access alternative internet infrastructure with enhanced reliability
- Technology Stack: Rust, Model Context Protocol, network protocol implementation, async I/O patterns
- Development Status: đĸ Active development with ongoing protocol expansion
đ OpenZIM MCP Server
Offline Knowledge Base Architecture for AI Systems Offline knowledge base access for AI models. A secure, high-performance MCP server that enables AI models to access and search ZIM format knowledge bases offline.
OpenZIM MCP Server
The OpenZIM MCP Server addresses the critical challenge of providing AI systems with reliable access to comprehensive knowledge bases without internet connectivity dependencies. This implementation demonstrates advanced compression algorithms, efficient search indexing, and memory management patterns optimized for large-scale offline data access.
The project showcases sophisticated performance optimization techniques including lazy loading, inverted indexing, and memory-mapped I/O to achieve sub-second search performance across millions of documents while maintaining minimal memory footprint.
- Performance Achievement: Entire English Wikipedia accessible with sub-second search performance in compressed format under 100GB
- Technical Complexity: Advanced integration of Rust, full-text search engines, and compressed data structures for optimal performance
- Operational Impact: Enables reliable AI assistant functionality in connectivity-constrained environments
- Development Status: đĄ Ongoing optimization of search algorithms and memory management patterns
đ Electromagnetic Spectrum Explorer
Interactive Physics Visualization for Education Interactive web application for exploring the electromagnetic spectrum from radio waves to gamma rays, featuring real-time visualization, unit conversion, and comprehensive physics-based calculations.
Electromagnetic Spectrum Explorer
The Electromagnetic Spectrum Explorer demonstrates how modern web technologies can transform abstract physics concepts into accessible, interactive educational experiences. This application addresses the fundamental challenge of visualizing electromagnetic radiation across over 20 orders of magnitude, from kilometer-long radio waves to gamma rays with wavelengths smaller than atomic nuclei.
The project showcases sophisticated D3.js visualization techniques, React component architecture, and physics-accurate calculations using NIST-certified constants. Built with educational accessibility as a primary design principle, it provides real-time unit conversion, logarithmic scaling, and comprehensive information for each electromagnetic region.
- Scientific Accuracy: NIST-certified physical constants ensuring precision across all calculations and visualizations
- Interactive Visualization: D3.js-powered logarithmic scaling spanning the full electromagnetic spectrum
- Educational Design: Comprehensive physics content with real-time unit conversion between wavelength, frequency, and energy
- Development Status: đĸ Active development with expanding educational features and visualization capabilities
âī¸ Dotfiles
Development Environment Automation and Configuration Management Development environment automation and configuration management. Comprehensive dotfiles for macOS and Linux with systematic automation of development workflow.
Dotfiles
This repository represents a comprehensive approach to development environment configuration management, implementing infrastructure-as-code principles for personal development tooling. The configuration system demonstrates systematic automation of development environment setup and maintenance across diverse platforms.
The implementation showcases advanced shell configuration, editor optimization, and tool integration patterns that enhance developer productivity while maintaining consistency across different machines and operating systems.
- Systematic Refinement: Years of iterative improvement and optimization based on real-world development workflow requirements
- Platform Compatibility: Comprehensive support for macOS and Linux environments with consistent behavior across platforms
- Automation Philosophy: Systematic automation of repetitive tasks while maintaining flexibility for workflow customization
- Evolution Status: đ Continuous adaptation to emerging tools and evolving development practices
Collaboration and Contribution
These projects welcome contributions from engineers interested in advancing software engineering practices and exploring innovative technical solutions. Effective collaboration emerges from systematic problem analysis and clear communication about technical requirements and architectural decisions.
Valuable contributions span multiple domains beyond code implementation. Fresh perspectives on problem domains and alternative architectural approaches often lead to significant improvements in system design and implementation quality.
- Issue Identification: Detailed bug reports with comprehensive reproduction steps enable efficient problem resolution
- Feature Proposals: Use case analysis and requirements documentation facilitate effective feature development
- Technical Contributions: Test coverage, documentation improvements, and code quality enhancements are equally valuable as feature implementation
- Technical Discussion: Questions about architectural decisions and implementation approaches contribute to knowledge sharing
Professional Collaboration
For technical collaboration, architectural discussions, or questions about project implementation approaches:
- GitHub: github.com/cameronrye - Primary platform for technical collaboration and project development
All projects are open source, reflecting the principle that the most effective tools emerge from collaborative development. Consult individual repositories for specific licensing terms and contribution guidelines.