AI agent ready
Connect GitHub Copilot, Claude, or another compatible MCP client. Your agent can discover its project, deploy an exact revision, diagnose failures, and use bounded recovery.
Free beta. No credit card.
Ship the app.
Not the server.
Deploy Hatch turns a GitHub repository into a managed, long-running deployment — for you or your AI agent. Build, run, diagnose, and recover through the dashboard or the public MCP interface without handing an agent your infrastructure.
Node.js · Python · Discord bots · APIs · background workers
Featured: AI agent → live Tetris
An end-to-end AI deployment through Deploy Hatch MCP, from repository to public app.
The agent discovers its project, deploys, follows machine-readable state, and returns the live URL.
Connect your AI →MCP / AGENT API
Your AI can deploy it, too.
Connect a project-scoped credential to GitHub Copilot, Claude, or another compatible MCP client. The agent can discover its Deploy Hatch project without you copying internal IDs into chat.
Connect your AI →Discover
Read live capabilities and the credential-bound project context.
Deploy
Build and deploy an immutable Git revision through documented public interfaces.
Diagnose
Consume machine-readable failure ownership, next actions, and recovery disposition.
Recover
Repair source or use authorized bounded recovery, then follow the replacement deployment to terminal state.
The deployment loop,
without the server chores.
Connect
Choose a GitHub repository and the revision you want to run.
Build
Deploy Hatch creates the build in a resource-controlled environment and streams the output.
Run
Your application starts in its own container with health and runtime state tracked.
Operate
Read logs, restart, stop, redeploy, or roll forward without SSHing into a machine.
Built around the things that break after you hit deploy.
A successful build is only the beginning. Deploy Hatch keeps the revision, runtime, logs, and operational controls together so you can understand what happened without reconstructing it from a shell history.
Logs you can actually use
Build output, application stdout, stderr, lifecycle events, and runtime state live with the deployment instead of disappearing into a server terminal.
A runtime with guardrails
Applications run in isolated containers with resource limits, health checks, restart controls, and deployment history.
Made for always-on code
Discord bots, APIs, workers, and other long-running Node.js and Python projects fit the same deployment workflow.
discord-bot / main
Your bot should be a project, not a pet server.
Stop logging into a VPS to pull code, restart a process, or figure out why the bot disappeared. Connect the repository once, then deploy revisions and operate the runtime from one place.
See Discord bot hosting →$ deploy main
revision 7a31c9e verified
container image built
application started
● runtime healthy
Logs continue here while the bot runs.
Try the platform while the beta is free.
One project is enough to move a bot, API, worker, or side project off the machine you have been babysitting.
Free Beta
$0 / month
- ✓ 1 project
- ✓ 256 MB memory
- ✓ 1 GB storage
- ✓ Deployment and application logs
- ✓ Environment variables
No credit card required.