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Cloudeval AI MCP Server

by ganakailabs Your server? Claim it
local only

Cloudeval AI runs on your own machine — the client starts it, so there is no endpoint to ping. 101 installs a week from npm. Last commit 10 Sep 2026.

Cloud evaluations and reviews for Azure and static AWS CloudFormation (beta). Requires an account.

Installs per day peak 73 · avg 11 · +304% w/w
a month agotoday
101
Installs / week
npm · @ganakailabs/cloudeval-cli
1
Stars
0 open issues
10 Sep 2026
Last commit
17 releases in 90 days
custom licence
License
TypeScript

What the code does

We read the source, 4 d ago · rules 995398eba69f

Capabilities

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.

Is this your server and something here is wrong? Tell us — corrections are free and do not require a plan.

This code can reach further than it looks

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.

Three servers free · no card

Connect this server

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.

run in your terminal
claude mcp add cloudeval -e 'CLOUDEVAL_ACCESS_KEY=<CLOUDEVAL_ACCESS_KEY>' -- npx -y @ganakailabs/cloudeval-cli
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "cloudeval": {
      "command": "npx",
      "args": [
        "-y",
        "@ganakailabs/cloudeval-cli"
      ],
      "env": {
        "CLOUDEVAL_ACCESS_KEY": "<CLOUDEVAL_ACCESS_KEY>"
      }
    }
  }
}
~/.codex/config.toml
[mcp_servers.cloudeval]
command = "npx"
args = ["-y", "@ganakailabs/cloudeval-cli"]
env = { CLOUDEVAL_ACCESS_KEY = "<CLOUDEVAL_ACCESS_KEY>" }
.cursor/mcp.json
{
  "mcpServers": {
    "cloudeval": {
      "command": "npx",
      "args": [
        "-y",
        "@ganakailabs/cloudeval-cli"
      ],
      "env": {
        "CLOUDEVAL_ACCESS_KEY": "<CLOUDEVAL_ACCESS_KEY>"
      }
    }
  }
}
.vscode/mcp.json
{
  "servers": {
    "cloudeval": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@ganakailabs/cloudeval-cli"
      ],
      "env": {
        "CLOUDEVAL_ACCESS_KEY": "<CLOUDEVAL_ACCESS_KEY>"
      }
    }
  }
}

Put your own value in place of <CLOUDEVAL_ACCESS_KEY> (Cloudeval access key with permissions for the selected project and report reads. Create it in the Cloudeval app under Developer > API & CLI access keys). The author’s registry entry marks it as required.

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Cloudeval AI — questions

Answers built from our own checks of this server.

Why is there no uptime for Cloudeval AI?
Cloudeval AI runs on your own machine over stdio — there is no network address to reach, so uptime cannot be measured for it by anyone. What can be measured is adoption: the npm package @ganakailabs/cloudeval-cli was installed 101 times last week.
How do I connect Cloudeval AI?
Copy the ready config from this page. We generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each in the form that client actually reads. It runs locally, so the command pulls @ganakailabs/cloudeval-cli straight from npm; nothing to host, nothing to sign up for.
How many people use Cloudeval AI?
The npm package @ganakailabs/cloudeval-cli was installed 101 times in the last week. Week over week that is +304%. We show installs rather than GitHub stars on purpose: a star is a bookmark, an install is someone actually running it.
Is Cloudeval AI open source?
No, and the distinction matters: it ships its own licence file rather than a standard open-source licence. That makes it source-available — you can read the code, but the terms are the author's own, not one of the recognised open-source licences. Read them before you build on it.