MCP server · Developer tools
Cloudeval MCP server
by ganakailabs
Let your AI check cloud costs, architecture risks, and security findings for your Azure setups.
This connects your AI assistant to Cloudeval, a service that reviews cloud infrastructure such as ARM templates and Infrastructure-as-Code repos. Once linked, you can just ask questions in plain words and let the AI pull real evaluation details out of Cloudeval. It suits anyone working with Azure environments who wants quick cost and design feedback without digging around dashboards themselves.
What is an MCP server? The 30-second version
On its own, your AI can only talk based on what it was trained on. An MCP server is a little helper program running behind the scenes that gives your AI a specific ability. This particular one plugs your AI into Cloudeval, so when you ask something about your cloud projects, the AI quietly fetches the answer straight from Cloudeval rather than guessing. You keep chatting normally; the extra wiring happens underneath.
What this MCP server does
When you ask a question in your AI app, the AI passes the request along to this Cloudeval helper. The helper then reaches out to the Cloudeval platform and pulls back whatever fits your question, such as project info, saved reports, rule descriptions, or readiness facts. Everything arrives inside your existing chat window, formatted as readable lists or short explanations. Nothing gets changed anywhere because this connector works strictly read-only.
Click to zoomWhat you can do with it
- List all your Cloudeval projects and see basic details about each one
- Pull down previously generated reports tied to a chosen project
- Look at how different parts of your cloud setup relate to each other via graphs
- Search built-in validation rules to understand best-practice checks
- Check automated test definitions attached to a given project
Try asking your AI
- “What Cloudeval projects do I have? List them briefly.”
- “Show me the latest reports for my production subscription.”
- “Which storage accounts lack encryption according to our compliance policy?”
- “Give me an overview of the relationships between components in project alpha.”
What it gives back to you
Depending on what you asked, you might receive a tidy list of items, a summary paragraph written in everyday terms, or structured information presented right in the chat. Numbers appear alongside labels wherever relevant. Since everything comes pre-formatted, copying pieces elsewhere takes seconds.
Before you start
What you need
- Sign in to Cloudeval within your usual web browser
- Have some projects created in your Cloudeval space beforehand
- Install Python 3.13 or later plus 'uv' onto whichever computer runs the bridge software
Install it with your AI
Add Cloudeval MCP server to your AI, no technical skills needed
You don't install anything by hand. You copy one prompt, paste it into an AI that can work on your computer, and it checks, installs and connects the server for you, asking you when it needs something.
Sign in to get the install prompt
Members get a ready-made prompt that lets the Claude desktop app check Cloudeval MCP server, install it and connect it for them, step by step. You don't need any technical skills: you copy, paste and answer a few questions. Your connected AI can also find and install any of the 4,066 MCP servers here for you.
Who it's for
Cloud engineers responsible for reviewing designs and budgets find this especially useful day-to-day.
