Cloudeval AI / Product explained
Cloud evaluations and reviews. Connected to your source.
Cloudeval AI turns cloud and infrastructure-as-code context into architecture diagrams, dependency views, reports and AI-assisted explanations. Review Azure environments or ARM templates through the web app, CLI, GitHub and MCP. Static AWS CloudFormation evaluation is available in beta.
From input to a review decision
Create project context from a supported source, inspect the resources and available relationships, then use reports and source evidence to decide what to verify or change.
- Web: inspect project context, diagrams and reports.
- CLI and GitHub: bring review into terminal and pull-request workflows.
- MCP: expose authorized project context to compatible clients.
Choose a starting point
Read the public sample first if you want to understand the evidence without connecting a cloud account. Use ARM import for the documented Azure template path, or follow the MCP setup guide for an agent workflow.
- Findings and AI explanations require source verification.
- Static analysis cannot establish live reachability, actual spend or runtime resilience on its own.
Frequently asked questions
Not for the documented ARM template review path. Live sync is a separate workflow with its own credentials. Your own Cloudeval project still requires an account.
No. MCP clients must be configured with the documented authentication and project access. A registry listing does not grant access to your cloud or projects.
