Manage deployments through a REST API or let your AI coding assistant handle it via MCP. Built for teams that need automation, not wizards.
curl -X POST https://aideploy.co/api/enterprise/v1/deployments \
-H "Authorization: Bearer $AIDEPLOY_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"externalId": "acme-prod",
"cloudProvider": "digitalocean",
"cloudToken": "dop_v1_...",
"region": "nyc3",
"serverSize": "starter",
"agentCount": 1,
"tailscaleAuthKey": "tskey-auth-...",
"selectedAIProviders": ["openai"],
"agents": [{
"name": "Acme assistant",
"modelProvider": "openai",
"authMethod": "consumer",
"model": "gpt-5.3-codex",
"template": "general"
}],
"billingAcknowledged": true
}'Create, monitor, and tear down agent deployments with simple REST calls. Authenticate with scoped API keys — secrets are never stored.
A local MCP server wraps the deployment API so coding assistants like Claude Code and Cursor can provision infrastructure with tool calls.
Deploy up to 25 agents in a single batch request. Track every deployment with status, progress, and terminal results. Batch is an Enterprise feature — talk to us for volume pricing.
API keys are hashed, cloud credentials are never persisted, and every table has row-level security. Your infrastructure, your control.
Available as part of Command Center.
Deployment API
REST API for programmatic deployment management. Included with Command Center.
MCP access
AI coding assistant integration via Model Context Protocol. Included with Command Center.
Mass deployments
Batch create up to 25 deployments in one request. Enterprise tier — contact us.