I'm a developer passionate about making AI assistants more human-friendly and accessible. By building Model Context Protocol (MCP) servers, I create bridges between AI and everyday services that people actually use. My focus is on making technology serve real human needs, not just technical possibilities.

Empowering teams to manage their AI infrastructure through natural conversation:

• Configure and manage AI workspaces intuitively
• Monitor usage and analytics through simple queries
• Manage user access and permissions conversationally
• Track costs and optimize AI resource usage

Making art more accessible through natural conversations about the Rijksmuseum collection:

• Server: Core API for art exploration
• Desktop Client: Electron-based interface for immersive art exploration
• Discover artworks through natural dialogue
• Learn about art history in an engaging way
• Experience art through guided conversations

Bringing AI assistance directly into Xcode:

• Seamless integration with development workflow
• Natural language interaction with Xcode projects
• Smart code analysis and suggestions
• Project management through conversation

Making train travel easier through natural language queries:

• Real-time journey planning in everyday language
• Live updates about delays and platform changes
• Simple access to travel information
• Personalized travel assistance

Helping students and teachers focus on learning:

• Natural interaction with course materials
• Easy assignment management
• Personalized learning support
• Clear communication tools

• 7 active MCP projects spanning development tools, art exploration, and service integration
• Growing ecosystem of servers and clients
• Supporting both developers and end-users with natural AI interactions
• Expanding from services to comprehensive development tools
• Building desktop applications for enhanced user experience

• Swift & SwiftUI
• Node.js & TypeScript
• Electron for desktop applications
• RESTful APIs
• Model Context Protocol (MCP)
• Human-centered design principles

• Creating more bridges between AI and everyday services
• Enhancing developer experience through AI integration
• Expanding the MCP ecosystem with new tools and clients
• Building robust, user-friendly implementations
• Developing tools that prioritize human needs
• Growing a community focused on human-friendly AI integration

• Making AI technology more accessible and human-friendly
• Creating natural interactions between people and services
• Developing solutions for real-world challenges
• Enhancing how people experience AI in their daily lives
• Improving developer workflows with AI assistance
• Building comprehensive client-server solutions

If you're interested in making AI more accessible and human-friendly, I'd love to collaborate!

Creating technology that serves people, one conversation at a time.