About Bryan Thompson
AI Development Ecosystem Creator
I'm building an integrated AI development ecosystem showcasing three core projects: claude.triepod.ai (conversation intelligence platform), ToolNexus MCP (comprehensive MCP directory), and this central hub. My background combines enterprise experience at PayPal and Fiserv with deep NVIDIA + MCP expertise, demonstrating practical AI implementation through active development rather than theoretical consulting.
🐟 Development Journey: From Accessibility Needs to AI Ecosystem
My path to AI started from practical problem-solving. Growing up on a Mississippi catfish farm, I learned early that technology should solve real problems. This mindset carried through my career in enterprise systems at PayPal and Fiserv, where I focused on automation and data integration.
When COVID took my leg in 2021, I used my recovery time to dive deep into AI and machine learning. What started as personal exploration became a passion for building AI solutions that are both practical and accessible to everyone.
🚀 The Ecosystem Evolution
Why Accessibility + NVIDIA Focus
As an amputee, I understand how technology can create barriers or break them down. My focus on NVIDIA + GPU acceleration isn't just about performance - it's about making powerful AI accessible to developers building inclusive solutions.
Building in public. Rather than promise future consulting services, I'm actively developing and showcasing real AI solutions. This hands-on approach demonstrates capabilities through working systems, not theoretical frameworks.
Professional Background
My career spans over 10 years in technical systems, with recent experience as a business analyst at major companies like PayPal and Fiserv. Currently, I work at Lodestar Technologies developing Python-based financial data integration platforms that use machine learning for semantic matching.
I've built automation solutions that have reduced manual work by 60-80% in enterprise environments. My projects include semantic search platforms, AI-powered data reconciliation systems, and custom development tools that solve real business challenges.
Current Focus: Bridging the gap between enterprise business analysis and practical AI implementation, helping organizations implement AI solutions that deliver measurable value while maintaining accessibility and usability.
Technical Skills & Project Areas
My technical experience focuses on practical AI implementation across various business applications:
- Model Context Protocol (MCP): Custom MCP server development, Claude integration, and MCP ecosystem expertise
- AI Development: LLM integration, vector databases, semantic search, and RAG implementation
- Data Systems: Financial data reconciliation, automated matching algorithms, and enterprise data integration
- Business Automation: Process optimization, workflow automation, and efficiency improvements
- Web Development: Full-stack applications using Python, JavaScript/TypeScript, and modern frameworks
- Accessibility Solutions: WCAG-compliant development and inclusive design principles
- Enterprise Integration: SAP systems, core banking platforms, and large-scale data processing
I combine hands-on development experience with business analysis skills, ensuring AI solutions that are both technically sound and practically valuable for organizations.
Why Work with Me
🔗 MCP Protocol Expertise
Developer of 4 production MCP servers and creator of toolnexusmcp.com (100+ MCP directory platform). Deep expertise in Model Context Protocol development and Claude integration strategies.
📈 Practical Results
Built automation solutions that have reduced manual work by 60-80% in real business environments. Focus on measurable outcomes and solving actual business problems, not just technical demos.
♿ Accessibility First
As an amputee, I bring lived experience with accessibility challenges. Every solution I build includes WCAG compliance and inclusive design principles from the ground up.
⚙️ Technical & Business Balance
Unique combination of hands-on development skills and business analysis experience. I can both build the solution and understand the business context that makes it valuable.
🎯 Honest Approach
Transparent about what AI can and cannot do. I focus on practical implementations that solve real problems rather than overpromising on theoretical capabilities.
My Approach to AI Implementation
Business-First Thinking
Every AI project starts with understanding the business problem, not the technology. I measure success by practical impact and ROI, not just technical achievement.
Accessible by Design
Accessibility isn't an afterthought - it's built into every solution from day one. I ensure AI tools work for all users, including those with disabilities.
Iterative Development
Start small, prove value, then scale. I prefer building working prototypes quickly and iterating based on real user feedback rather than theoretical requirements.
Knowledge Transfer
My goal is to make your team self-sufficient. I provide clear documentation, training, and ongoing support to ensure you can maintain and extend the solutions.
Follow My AI Development Journey
Get updates on my AI projects, MCP development, and technical discoveries