Cloudeval AI runs on your own machine — the client starts it, so there is no endpoint to ping. 515 installs a week from npm. Last commit 10 Sep 2026.
Cloud evaluations and reviews for Azure and static AWS CloudFormation (beta). Requires an account.
We read the source, 18 h ago · rules 3dff92dd89df
What this server is able to do. For an MCP server this is often the job itself — a terminal server runs commands because that is what it is for. Listed so you know what you are plugging in, not as an accusation.
const child = spawn(command, args, {
const filePath = path.join(workspace, target.path);
Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.
We found places where it runs commands, builds paths or queries from values it is given. None of that is a flaw by itself — it becomes one when the code changes, and code changes quietly between releases. We re-read it on every one.
This server runs on your own machine — install it with the package manager and the client starts it for you. Package name taken from the official registry entry.
claude mcp add cloudeval -- npx -y @ganakailabs/cloudeval-cli
{
"mcpServers": {
"cloudeval": {
"args": [
"-y",
"@ganakailabs/cloudeval-cli"
],
"command": "npx"
}
}
}
[mcp_servers.cloudeval]
command = "npx"
args = ["-y", "@ganakailabs/cloudeval-cli"]
{
"mcpServers": {
"cloudeval": {
"args": [
"-y",
"@ganakailabs/cloudeval-cli"
],
"command": "npx"
}
}
}
{
"mcpServers": {
"cloudeval": {
"args": [
"-y",
"@ganakailabs/cloudeval-cli"
],
"command": "npx"
}
}
}
AI-Powered AWS security analysis: scan IAM policies and CloudFormation for risks and escalation.
AWS CloudFormation and Terraform infrastructure blueprint builder.
Cloud cost visibility and savings recommendations grounded in your actual AWS, GCP and Azure bill.
Cloud region data for AWS, Azure, GCP, OCI & more. Query by location, compliance, GPU.
Anchor AI FinOps to real, live cloud pricing — AWS, GCP & Azure public and enterprise rates.
Cloud replacement for mcp-server-filesystem — 20 tools for S3, Azure Blob, and GCS
Browser-local and CLI static evidence for deployed AI model artifacts.
Cloud cost, inventory and governance on AWS/Azure/GCP. Read-only by default, optional scoped writes
Answers built from our own checks of this server.