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作者による説明(英語の原文)
Multi-cloud cost, inventory and waste analysis over MCP: AWS, GCP, Cloudflare and OVH.
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
CLOUD_TOOLS_MODE必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"mcpServers": {
"cloud-tools": {
"command": "npx",
"args": [
"-y",
"@munhq/cloud-tools"
],
"env": {
"CLOUD_TOOLS_MODE": "your-value"
}
}
}
}ターミナルでこれを実行します
claude mcp add cloud-tools --env CLOUD_TOOLS_MODE=your-value -- npx -y @munhq/cloud-tools動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"mcpServers": {
"cloud-tools": {
"command": "npx",
"args": [
"-y",
"@munhq/cloud-tools"
],
"env": {
"CLOUD_TOOLS_MODE": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"servers": {
"cloud-tools": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@munhq/cloud-tools"
],
"env": {
"CLOUD_TOOLS_MODE": "your-value"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
CLOUD_TOOLS_MODE envこの設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月6日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント munhq で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.2.0)がレジストリに届いたのは2 か月前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにNode.jsも必要です。
同じカテゴリには:GitHub, Desktop Commander, Cloudflare MCP
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Cloudflare MCP servers
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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.
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.
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.
Credentials are read from the environment of the machine running cloud-tools. Nothing is stored, and every call is read-only.
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 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.
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_API_TOKEN a token with read access to account resources
CLOUDFLARE_ACCOUNT_ID
OVH_APPLICATION_KEY
OVH_APPLICATION_SECRET OVH_CONSUMER_KEY OVH_ENDPOINT ovh-eu (default), ovh-us or ovh-ca
Not released yet. The newest tag is
v0.1.0, which shipped.tar.gz
archives under the old asset names, and
@munhq/cloud-toolsis not on npm. The
three commands below start working the moment
v0.2.0is tagged. Until then,
build from source:
cargo build --release.
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.
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
docker run -i --rm \
-e AWS_ACCESS_KEY_ID -e AWS_SECRET_ACCESS_KEY -e AWS_REGION \ munhq/cloud-tools
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 rmcphttp — HTTP API via axumcargo 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 }
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.
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.
Apache-2.0. See LICENSE.