UniDeploy is an AI-powered DevOps CLI that runs on a user’s machine and manages cloud infrastructure through natural-language commands. A single CLI supports AWS, Azure, and GCP, with tools for EC2 instances, Lambda functions, S3 storage, CloudWatch logs and metrics, and RDS databases. Its cost optimizer identifies unused Elastic IPs, unattached volumes, and idle resources. The security scanner checks security groups for vulnerabilities and open ports and offers recommendations. UniDeploy can run commands on EC2 through AWS Systems Manager without SSH access. The site names ServiceNow and Jira for incident management, and lists compatibility with models including Bedrock, Anthropic, OpenAI, Gemini, and Ollama. An MCP server lets compatible clients such as Claude Desktop call its DevOps tools. The CLI supports Linux, macOS, and Windows WSL. The Free plan includes 10 AI requests; Most Popular costs 15.00 USD per month and lists unlimited AI requests and 24/7 infrastructure monitoring. Users bring their own model and pay its provider directly for usage.
Who it is for
It suits DevOps teams managing resources across AWS, Azure, or GCP through a command line. It may also suit users who want to connect incident tools or MCP-compatible clients to DevOps operations.
What is good
- One CLI supports AWS, Azure, and GCP
- Can run EC2 commands without SSH access
- Scans security groups and finds idle resources
- MCP server supports compatible clients
- Free plan includes full CLI access
What to know first
- Free plan includes 10 AI requests
- Users bring their own model and pay its provider
- Windows support is listed for WSL
Verdict
UniDeploy brings cloud operations, security checks, and cost optimization into a machine-run CLI. The free plan is limited to 10 AI requests, while the 15.00 USD per month plan lists unlimited usage and monitoring.
UniDeploy plans and pricing
All plansCompared on AI DevOps assistants
- Free plan
- Yes
- Deployment mode
- both
- Incident response
- Yes
- Infra troubleshooting
- Yes
- Kubernetes support
- Yes
- Cloud platforms
- AWS, Azure, GCP
- Runbook automation
- Yes
