UniDeploy
unideploy.com
What it is
UniDeploy is an AI-powered DevOps CLI that runs on a user's machine and manages cloud infrastructure through natural-language commands. One command-line tool supports AWS, Azure, and GCP, with tools for EC2 instances, Lambda functions, S3 storage, CloudWatch logs and metrics, and RDS databases. Its cost optimizer looks for unused Elastic IPs, unattached volumes, and idle resources. A security scanner checks security groups for vulnerabilities and open ports and provides recommendations. The CLI can run commands on EC2 through AWS Systems Manager without SSH access. UniDeploy connects with ServiceNow and Jira for incident management and works with AI models including Bedrock, Anthropic, OpenAI, Gemini, and Ollama. Its MCP server allows compatible clients such as Claude Desktop to call DevOps tools. Supported environments include Linux, macOS, and Windows WSL. The free plan includes 10 AI requests and community support; the paid plan costs $15 a month and lists unlimited AI requests, email support, and 24/7 monitoring. Users bring their own model and pay its provider directly.
Spec sheet
- Product
- UniDeploy describes itself as an AI-powered DevOps agent CLI that runs on your machine and manages cloud infrastructure through natural-language commands.Read 30 Sep 2026 · unideploy.com
- Integrations
- The site names ServiceNow and Jira for incident management and says it works with AI models including Bedrock, Anthropic, OpenAI, Gemini, and Ollama.Read 30 Sep 2026 · unideploy.com
- Security
- The site says UniDeploy is built in Rust, uses mTLS encryption, runs on users’ machines, and keeps secrets in the user’s environment.Read 30 Sep 2026 · unideploy.com
- Support
- The free plan lists community support and the paid plan lists email support.Read 30 Sep 2026 · unideploy.com
- Autopilot
- The paid plan includes 24/7 infrastructure monitoring, and the site describes the agent as able to auto-heal incidents.Read 30 Sep 2026 · unideploy.com
- Cloud operations
- The listed tools manage EC2 instances, Lambda functions, S3 storage, CloudWatch logs and metrics, and RDS databases.Read 30 Sep 2026 · unideploy.com
- Cloud providers
- It supports AWS, Azure, and GCP through one CLI.Read 30 Sep 2026 · unideploy.com
- Cost optimization
- Its cost optimizer finds unused Elastic IPs, unattached volumes, and idle resources.Read 30 Sep 2026 · unideploy.com
- MCP integration
- The documentation says UniDeploy runs an MCP server that lets MCP-compatible clients, including Claude Desktop, call its DevOps tools.Read 30 Sep 2026 · unideploy.com
- Payment for model usage
- The site says users bring their own model and pay the model provider directly for usage.Read 30 Sep 2026 · unideploy.com
- Remote commands
- It can execute commands on EC2 instances through AWS Systems Manager without SSH access.Read 30 Sep 2026 · unideploy.com
- Security scanning
- Its security scanner checks security groups for vulnerabilities and open ports and provides recommendations.Read 30 Sep 2026 · unideploy.com
- Supported environments
- The site says the CLI works on Linux, macOS, and Windows WSL.Read 30 Sep 2026 · unideploy.com
- Usage limits
- The free plan includes 10 AI requests; the paid plan is listed with unlimited usage.Read 30 Sep 2026 · unideploy.com
Plans and prices
Strong points and limits
Strong points
- One CLI supports AWS, Azure, and GCP.
- Security scanning checks security groups for open ports.
- EC2 commands can run through Systems Manager without SSH.
- MCP-compatible clients can call its DevOps tools.
Limits
- The free plan includes 10 AI requests.
- Users bring their own model and pay its provider.
- Windows support is listed as WSL.
Who it suits
It suits DevOps teams managing AWS, Azure, or GCP infrastructure from a CLI, particularly those seeking infrastructure checks or incident response tools. It also fits users who can provide their own AI model and pay its provider directly.
Verdict
UniDeploy brings cloud operations, infrastructure checks, and incident-related tools into a local CLI. Its free request limit and separate model-provider costs are key details to weigh against the paid plan's listed unlimited usage and monitoring.
Where Specifiction places it
- AI DevOps Assistants#14 of 267.8