
Simplifying Deployment of AI Apps to the Cloud using Docker and Model Context Protocol
Learn how Defang lets you build and deploy MCP-based AI apps from Docker to the cloud (AWS, GCP, DigitalOcean) with ease.
Curated guides, tutorials, and updates for this topic.

Learn how Defang lets you build and deploy MCP-based AI apps from Docker to the cloud (AWS, GCP, DigitalOcean) with ease.

This January, Defang added full GCP support, self-deployed its infrastructure with Defang, launched Campus Advocate Program, and published MCP samples.

Defang V1 goes live on Product Hunt. Join the launch, vote, share feedback, and help spread the word about our cloud deployment platform.

Join Defang’s launch week: CLI V1 debuts with AWS, GCP & DigitalOcean support, pricing tiers, and community events.

October brought CLI 0.6.5, AI Debug for BYOC, network aliasing, GDPR account deletion, Postgres upgrades & improved error feedback.

An intern’s journey: building a UI device, debugging hardware problems, and ultimately deploying it to cloud via Defang.

Preview BYOC support for DigitalOcean, managed Postgres, improved AI features, and platform scaling enhancements.

August brought Ask Defang launch, better parity for compose/BYOC workflows, smarter debugging, and community events.

We scaled our Playground to handle many users and released defang debug — AI-powered debugging for failed cloud deployments.

Windows users get winget install & signed binary. Added one-click deploy from samples, managed Redis rollout, CLI output & error improvements.

June’s update delivered sample templates, ACME support for custom domains, stateful-service warnings, and support for managed Redis.

Run Defang via npx, use any domain with BYOC + Let’s Encrypt, improved Windows support, and clearer CLI feedback.