I'm a software engineer passionate about making AI tools accessible to everyone. I spend most of my time working on DeployStack, where we're solving the deployment complexity that keeps powerful MCP (Model Context Protocol) servers locked away from developers.
DeployStack - The easiest way to deploy MCP servers to the cloud
The AI tooling ecosystem is exploding, but there's a huge gap: deployment is still a nightmare. Setting up MCP servers involves complex configurations, authentication puzzles, and hours of frustration. That's exactly what DeployStack fixes.
- 🔧 MCP Server Automation - Converting complex MCP setups into one-click deployments
- 🌐 Multi-Cloud Infrastructure - Supporting Render, Fly.io, AWS, and more
- 📦 Curated MCP Catalog - Building deploystack.io/mcp as the go-to directory
- 🛠️ Developer Experience - Making AI tools accessible without technical barriers
I believe powerful AI tools shouldn't be locked behind technical complexity. Every developer should be able to deploy an MCP server in minutes, not hours. That's why I'm building DeployStack - to democratize access to AI tooling.
- Languages: TypeScript, JavaScript, Python
- Frameworks: Node.js, Docker, Kubernetes
- Cloud Platforms: AWS, Render, Fly.io, DigitalOcean
- Specialties: Infrastructure as Code, Container Orchestration, MCP Integration
- DeployStack.io - One-click MCP server deployments
- awesome-mcp-server repository - Curated collection of MCP servers
- deploystack repository - Open-source CI/CD platform for MCP servers
"The best way to predict the future is to build it... and make sure it deploys with one click."