- READY
- SCALED
- CLEAN
- HUMAN
Short answer
How can I use my AI to manage dev sandboxes?
Your AI uses the Daytona MCP to trigger environment actions like creation, resizing, and deletion. You get full control over ephemeral workspaces without leaving your chat interface. You'll see how the AI handles the lifecycle of these environments below.
The outcomes
Where your environments land.
Every command you give your AI results in a specific state change in Daytona.
READY
Instant environments
The AI provisions a fresh sandbox for your current task. You get a ready-to-use workspace immediately.
SCALED
Adjusted resources
The AI modifies the hardware specs of an existing sandbox. This happens without you needing to touch a dashboard.
CLEAN
Resource recovery
The AI stops or deletes sandboxes when you're done. This keeps your cloud costs and clutter under control.
HUMAN
Manual oversight
You decide when a sandbox is no longer needed. The AI waits for your signal before destroying any work.
The workflow
What your AI does when the request arrives.
The AI translates your intent into specific Daytona tool calls.
Provisioning
When you need a new environment, the AI sets up a fresh sandbox with your specified configuration.
create_sandboxScaling
If a task requires more power, the AI updates the sandbox resources to match the load.
resize_sandboxPausing
To save costs without losing progress, the AI halts the running sandbox.
stop_sandboxCleanup
Once the work is finished, the AI removes the sandbox entirely to free up resources.
delete_sandbox
Try it
Copy these to start.
Use these prompts to trigger the Daytona tools.
Starting points
These are basic examples. Swap out the repo names or resource sizes to fit your specific project.
Daytona Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_AkqYHK4XFPqtgrdtnVnobFEfCwP5QQF4omfr3EXo/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Daytona capabilities are ready to use.
{
"mcpServers": {
"daytona-dev-workspaces-mcp": {
"url": "https://edge.vinkius.com/vk_preview_AkqYHK4XFPqtgrdtnVnobFEfCwP5QQF4omfr3EXo/mcp"
}
}
}Create a new sandbox for the 'frontend-app' repository.
Resize my current sandbox to use more CPU and memory.
Stop the sandbox I'm using for the 'api-service' testing.
Delete the sandbox associated with the 'legacy-migration' task.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Daytona once, then ask.
Just link your account once. Your credentials stay encrypted, and you can start managing sandboxes in any MCP-compatible client immediately.
Connect Daytona to your AIFAQ
How this task behaves
- 01
Can the AI delete my sandboxes without asking?
No. The AI only executes the delete command when you explicitly tell it to remove a sandbox.
- 02
Can the AI change my cloud provider settings?
No. The AI can only manage the sandboxes through the provided Daytona tools; it cannot modify your underlying cloud account or billing settings.
- 03
Will the AI automatically stop sandboxes to save money?
No. The AI only stops a sandbox if you specifically request it or if you've set up a manual instruction to do so.
- 04
Can I resize a sandbox that has already been deleted?
No. Once a sandbox is removed via the delete tool, it no longer exists to be resized.
- 05
Does the AI handle the actual code inside the sandbox?
The AI manages the sandbox lifecycle, but it does not directly edit the files inside the environment unless you use a separate coding tool.
More questions about Daytona? The Connector page answers them. See everything the Daytona Connector can do
Connect Daytona to Claude, Cursor, ChatGPT & more
