cloud-tools

Name: cloud-tools
Author: munhq

by munhqversion 0.2.0i★ –iRuns on your computer

Registry nameio.github.munhq/cloud-tools

Install

Overview

Description from the maker (original English)

Multi-cloud cost, inventory and waste analysis over MCP: AWS, GCP, Cloudflare and OVH.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiNot measured yet★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Developer tools

Install

Pick the AI app you use, then copy the settings.

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
You fill in yourself: CLOUD_TOOLS_MODE

You need

npmNode.js installed (for the npx command)

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "cloud-tools": {
      "command": "npx",
      "args": [
        "-y",
        "@munhq/cloud-tools"
      ],
      "env": {
        "CLOUD_TOOLS_MODE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add cloud-tools --env CLOUD_TOOLS_MODE=your-value -- npx -y @munhq/cloud-tools

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "cloud-tools": {
      "command": "npx",
      "args": [
        "-y",
        "@munhq/cloud-tools"
      ],
      "env": {
        "CLOUD_TOOLS_MODE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "cloud-tools": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@munhq/cloud-tools"
      ],
      "env": {
        "CLOUD_TOOLS_MODE": "your-value"
      }
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

Values you fill in

CLOUD_TOOLS_MODE env
mcp for an MCP client over stdio, http for the REST API. Defaults to mcp, which is what every MCP client wants.

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 6, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account munhq, which owns the repo
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… Not checked yet
Has a licence
We have not read this repo from GitHub yet
– Not applicable
Endpoint responds
This one runs on your computer; there is no internet endpoint
– Not applicable
Sign-in with OAuth
Runs on your computer and uses local settings instead
… Not checked yet
No hidden instructions in tool descriptions
Runs on your computer; we can only read tool lists from internet endpoints

Compared with others in Developer toolsi

More stars than 0% of the other 1385 servers in this category
Published to the registry more recently than 47% of the other 1385 servers in this category
Basic checks equal to or better than 100% of the other 1385 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is cloud-tools safe?

It passed 1 of 1 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed –, and the latest version (0.2.0) reached the registry 2 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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Reading a card:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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Desktop Commander

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Cloudflare MCP

by cloudflare

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Runs in the cloud★ 4,446Apache-2.0Updated 14 months ago

Install

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Multi-cloud cost, inventory and waste analysis in Rust — exposed as an MCP server so an AI agent can query spend and waste directly, and as an HTTP API for everything else.

It reports spend and waste: idle instances, oversized nodes, previous-generation hardware, unattached resources, and commitments you are not using.

Eight tools, one shape

Every tool takes cloud and nothing else it does not need. Credentials never appear in a tool call — the server reads them from its own environment, so the agent never handles a secret and never needs to be told one.

{ "cloud": "aws" }

{ "cloud": "gcp" }

Start with check_access. It takes no arguments, contacts no cloud, and reports which clouds this server can reach and what is missing for the ones it cannot.

Tool	AWS	GCP	Cloudflare	OVH
`check_access`	reports configuration for all four
`get_costs`	yes	needs a billing table	yes	yes
`compare_costs`	yes	needs a billing table	—	—
`get_inventory`	—	yes	yes	yes
`get_waste`	yes	yes	—	—
`get_commitments`	yes	yes	—	—
`get_recommendations`	—	yes	—	—
`get_cross_cloud_summary`	every cloud the server can reach

A dash is not a silent empty result. The tool answers, for example, waste analysis is not implemented for ovh; supported: aws, gcp, so an agent cannot read a gap as a clean bill.

Reading a zero correctly

get_waste and get_inventory return a coverage field and an errors list. A zero total means one of two entirely different things:

coverage	meaning
`complete`	Nothing is wasted.
`PARTIAL — N API call(s) failed…`	Part of the account could not be read.

A partial result is not a clean bill of health.

Configuring the server

Credentials are read from the environment of the machine running cloud-tools. Nothing is stored, and every call is read-only.

AWS

Resolved in this order, first match winning:

AWS_ACCESS_KEY_ID and AWS_SECRET_ACCESS_KEY
~/.aws/credentials, profile from AWS_PROFILE, otherwise [default]
An ECS task role
An EC2 instance role

An SSO-only profile is not read directly. Export it first: aws configure export-credentials --profile --format env.

To scan a *different* account, pass a role to assume. A role ARN is not a secret, so it stays an argument:

{ "cloud": "aws", "target": { "role_arn": "arn:aws:iam::…:role/ReadOnly" } }

CLOUD_TOOLS_AWS_ROLE_ARN and CLOUD_TOOLS_AWS_EXTERNAL_ID set a default for that, if every call should assume the same role.

get_waste reads EC2 instances, volumes, snapshots, AMIs, Elastic IPs, key pairs and reserved instances; RDS; S3; Lambda; DynamoDB; ECS; ElastiCache; load balancers; NAT gateways; CloudWatch log groups with no retention; and Compute Optimizer. Idle and oversized come from CloudWatch CPU series, so they are measured rather than guessed.

GCP

Application Default Credentials — gcloud auth application-default login is enough — or GOOGLE_APPLICATION_CREDENTIALS pointing at a service-account file.

Variable	Purpose
`CLOUD_TOOLS_GCP_PROJECTS`	Comma-separated project IDs to query
`CLOUD_TOOLS_GCP_BILLING_TABLE`	BigQuery billing export, `project.dataset.table`

Projects can also be chosen per call with target.project_ids, which is how one agent scans several.

billing_table matters. Google publishes no per-service spend API, so real costs come from the BigQuery billing export. Without it, get_costs falls back to the Budgets API and labels the result "source": "budgets" with a note saying these are budget amounts, not spend. compare_costs requires it outright.

Cloudflare

CLOUDFLARE_API_TOKEN     a token with read access to account resources

CLOUDFLARE_ACCOUNT_ID

OVH

OVH_APPLICATION_KEY

OVH_APPLICATION_SECRET OVH_CONSUMER_KEY OVH_ENDPOINT ovh-eu (default), ovh-us or ovh-ca

Install

Not released yet. The newest tag is v0.1.0, which shipped .tar.gz

archives under the old asset names, and @munhq/cloud-tools is not on npm. The

three commands below start working the moment v0.2.0 is tagged. Until then,

build from source: cargo build --release.

As an MCP server

claude mcp add cloud-tools -- npx -y @munhq/cloud-tools

Anything that reads a JSON config — Claude Desktop, Cursor, Windsurf, Zed, Cline:

{ "mcpServers": { "cloud-tools": { "command": "npx", "args": ["-y", "@munhq/cloud-tools"] } } }

The npm package is a small wrapper, because the server is a compiled binary and not JavaScript. On install it resolves the release asset for your platform, verifies it against the published SHA256SUMS, caches it under ~/.cache/cloud-tools/bin/ and executes it.

As a binary

Prebuilt binaries for Linux, macOS and Windows, x86_64 and arm64, are attached to each release. The script below downloads the one for your machine and checks it against SHA256SUMS:

curl -sSL https://raw.githubusercontent.com/munhq/cloud-tools/main/install.sh | bash

Or take a single asset directly:

curl -fsSLO https://github.com/munhq/cloud-tools/releases/latest/download/cloud-tools-x86_64-linux

chmod +x cloud-tools-x86_64-linux

As a container

docker run -i --rm \

-e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY -e AWS_REGION \ munhq/cloud-tools

Running it

Built as a library (cloud_tools) with an optional binary. Two feature flags, both on by default:

mcp — MCP server over stdio and streamable HTTP, via rmcp
http — HTTP API via axum

cargo build --release

./target/release/cloud-tools # MCP server on stdio

As an MCP server it plugs into any MCP-capable agent. The agent calls the tools above directly and reasons over the results.

To embed it instead, depend on the library and turn the binary features off:

cloud-tools = { git = "https://github.com/munhq/cloud-tools", default-features = false }

Status

Working and used against live AWS, GCP, Cloudflare and OVH accounts. Waste analysis exists for AWS and GCP only — Cloudflare and OVH have none at all, not merely fewer rules, and get_waste says so rather than returning an empty list. AWS has no inventory tool yet, though the listing calls behind one already exist. Contributions adding provider coverage are welcome.

Privacy Policy

cloud-tools collects nothing. There is no telemetry, no analytics and no phone-home of any kind — verified by the fact that the only hosts in the source are cloud provider APIs plus github.com, which the npm wrapper uses to download the binary for your platform.

What is collected. Nothing. No account, no sign-up, no identifier.

What is processed, and where. Credentials you pass are used to sign requests to your own cloud provider and are held in memory for the life of that call. The server runs on your machine, so nothing is sent to munhq or to any third party. The responses go back to the MCP client that asked for them and nowhere else.

Storage and retention. Nothing is written to disk and nothing is retained. The one exception is the npm wrapper, which caches the downloaded binary under ~/.cache/cloud-tools/bin/ so it is not re-fetched on every run. That cache holds a program, never your data or your credentials.

Logging. Diagnostics go to stderr, which your MCP client captures. Credentials are never logged. Error messages quote the provider's own response, which may name a project, an account id or a resource — the same information the tool was asked to report.

Third-party sharing. None. The only network destinations are the cloud APIs of the providers whose credentials you supply: AWS (*.amazonaws.com), Google Cloud (*.googleapis.com), Cloudflare (api.cloudflare.com) and OVH (*.api.ovh.com, api.us.ovhcloud.com).

Permissions. Read-only is sufficient for every tool. All eight declare readOnlyHint: true, and nothing in this server creates, modifies or deletes a cloud resource.

Contact. hello@munhq.com. The canonical version of this policy is at https://munhq.com/privacy/cloud-tools.

Licence

Apache-2.0. See LICENSE.

cloud-tools

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

Values you fill in

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

Eight tools, one shape

Reading a zero correctly

Configuring the server

AWS

GCP

Cloudflare

OVH

Install

As an MCP server

As a binary

As a container

Running it

Status

Privacy Policy

Licence