io.github.ganakailabs/cloudeval

@ganakailabs/cloudeval-cli

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

113/wk 5 tools GitHub npm

No known CVEs

No license

Maintained

Last commit 64d ago

Works with most clients

Transport: stdio, sse, http

5 tools · ~193 tok

Grade A · 0.1% of 200K ctx

MCPpedia last refreshed this data 2d ago

Edit this pageView history

io.github.ganakailabs/cloudeval is an MCP server that cloud evaluations and reviews for Azure and static AWS CloudFormation (beta). Requires an account. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 84/100 on MCPpedia's security, maintenance and efficiency rubric.

Cloud

Step 1

Install in your client

Config is the same across clients - only the file and path differ.

Supported in Claude Desktopstdio, sse, http · Node 18+

Paste into ~/Library/Application Support/Claude/claude_desktop_config.json

{
  "mcpServers": {
    "io-github-ganakailabs-cloudeval": {
      "args": [
        "-y",
        "@ganakailabs/cloudeval-cli"
      ],
      "command": "npx"
    }
  }
}

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[![MCPpedia Score](https://mcppedia.org/api/badge/io-github-ganakailabs-cloudeval)](https://mcppedia.org/s/io-github-ganakailabs-cloudeval)

Read me

What io.github.ganakailabs/cloudeval does

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

Test This Server

This server supports HTTP transport. Be the first to test it - help the community know if it works.

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Scored, not listed

Why this score

Five weighted categories - click any category to see the underlying evidence.

Score breakdown

84/100across 5 weighted dimensions

How we score →

0255075100

−16

Security

Maintenance

Efficiency

Documentation

Compatibility

Categoriesclick a row to see evidence

Security

OSV.dev

No known CVEs.

Checked @ganakailabs/cloudeval-cli against OSV.dev.

Inventory

Tools (5)

Click any tool to inspect its schema.

~193 tokens total

Community

Reviews

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Have you used this server?

Share your experience - it helps other developers decide.

How easy was setup?Did it work reliably?How was the documentation?

Frequently Asked Questions

Is io.github.ganakailabs/cloudeval safe to use?: io.github.ganakailabs/cloudeval has no known CVEs as of the latest MCPpedia security scan. It requires authentication to connect, which limits unauthorized access.
How do I install io.github.ganakailabs/cloudeval?: io.github.ganakailabs/cloudeval supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.
What can io.github.ganakailabs/cloudeval do?: io.github.ganakailabs/cloudeval provides 5 tools: Install, Telemetry, Docs, Community, License. See the full tools list on the server page for descriptions and parameters.
What AI clients work with io.github.ganakailabs/cloudeval?: io.github.ganakailabs/cloudeval is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.
Is io.github.ganakailabs/cloudeval actively maintained?: io.github.ganakailabs/cloudeval is recently maintained - last commit was 64 days ago.

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Community

Discussion

Start a conversation

Ask a question, share a tip, or report an issue.

Has anyone used this with Cursor?How do you handle auth?Any alternatives?

Cloudeval CLI

Your cloud, in the terminal: evaluated, reported, and agent-ready.

Cloudeval CLI turns ARM templates, GitHub-hosted IaC, and live Azure context into cost, architecture, and Well-Architected signals. Use it as a terminal UI, a scriptable automation client, or an MCP server for Codex, Cursor, Claude, VS Code, and any stdio JSON-RPC client.

Why Use It

For

What you get

Terminal users

A full TUI with chat, Agent mode, workspace tabs, thread switching, slash commands, a context rail, task ledger, artifact chips, and local SQLite session history.

Automation

Stable json, ndjson, markdown, and text output; payloads on stdout; progress and prompts on stderr; predictable exit codes.

Agents and CI

Scoped access-key credentials, redacted output by default, MCP toolsets, recipes, and machine-readable capability metadata.

Install

Node.js 20+ users can install from npm:

npm install -g @ganakailabs/cloudeval-cli cloudeval --help

macOS, Linux, WSL2, Git Bash, and PowerShell 7+ on Windows or Linux can use the standalone release installer:

curl -fsSL https://cli.cloudeval.ai/install.sh | bash

irm https://cli.cloudeval.ai/install.ps1 | iex

Then reload your shell and sign in:

source ~/.bashrc # or: source ~/.zshrc cloudeval login cloudeval status cloudeval chat

Device login goes through cloudeval.ai and always asks the browser auth provider to show the account chooser, so users can choose the intended work email even when another account is already signed in. No local Azure app registration is needed for normal CLI use.

Frequently Asked Questions

Is io.github.ganakailabs/cloudeval safe to use?

io.github.ganakailabs/cloudeval has no known CVEs as of the latest MCPpedia security scan. It requires authentication to connect, which limits unauthorized access.

How do I install io.github.ganakailabs/cloudeval?

io.github.ganakailabs/cloudeval supports copy-paste install configs on its MCPpedia page for Claude Desktop, Cursor, and Claude Code. Scroll to the Quick Install section and select your client.

What can io.github.ganakailabs/cloudeval do?

io.github.ganakailabs/cloudeval provides 5 tools: Install, Telemetry, Docs, Community, License. See the full tools list on the server page for descriptions and parameters.

What AI clients work with io.github.ganakailabs/cloudeval?

io.github.ganakailabs/cloudeval is compatible with claude-desktop, cursor, claude-code. It uses stdio and sse and http transport.

Is io.github.ganakailabs/cloudeval actively maintained?

io.github.ganakailabs/cloudeval is recently maintained - last commit was 64 days ago.

Cloudeval CLI

Your cloud, in the terminal: evaluated, reported, and agent-ready.

Why Use It

For	What you get
Terminal users	A full TUI with chat, Agent mode, workspace tabs, thread switching, slash commands, a context rail, task ledger, artifact chips, and local SQLite session history.
Automation	Stable `json`, `ndjson`, `markdown`, and text output; payloads on stdout; progress and prompts on stderr; predictable exit codes.
Agents and CI	Scoped access-key credentials, redacted output by default, MCP toolsets, recipes, and machine-readable capability metadata.

Install

Node.js 20+ users can install from npm:

npm install -g @ganakailabs/cloudeval-cli
cloudeval --help

macOS, Linux, WSL2, Git Bash, and PowerShell 7+ on Windows or Linux can use the standalone release installer:

curl -fsSL https://cli.cloudeval.ai/install.sh | bash

irm https://cli.cloudeval.ai/install.ps1 | iex

Then reload your shell and sign in:

source ~/.bashrc   # or: source ~/.zshrc
cloudeval login
cloudeval status
cloudeval chat

Ins
... View full README on GitHub