Analisis biaya, inventaris, dan pemborosan multi-cloud di AWS, GCP, Cloudflare, dan OVH menggunakan AI agent.
Juga dikenal sebagai munhq/cloud-tools, @munhq/cloud-tools
- Stars
- 0
- Tools
- 9
- Unduhan, 30 hari
- —
- Versi terbaru
- 0.2.0
- Commit terakhir
- 9 Nov 2026
- Lisensi
- Apache-2.0
Apa itu cloud-tools MCP?
cloud-tools adalah MCP server. Analisis biaya, inventaris, dan pemborosan multi-cloud di AWS, GCP, Cloudflare, dan OVH menggunakan AI agent. Server ini menyediakan 9 tool, seperti check_access, get_costs, compare_costs.
Ringkasan dibuat dari README proyek
Tentang cloud-tools MCP server
Menganalisis biaya, inventaris, dan pemborosan multi-cloud adalah kemampuan yang ditawarkan cloud-tools bagi developer yang menggunakan AI agent. MCP server berbasis Rust ini memungkinkan agent untuk melakukan query terhadap pengeluaran dan inefisiensi resource di AWS, GCP, Cloudflare, dan OVH. Server ini berfungsi sebagai tool lokal yang membaca kredensial langsung dari environment Anda, memastikan bahwa secret sensitif tidak pernah muncul dalam tool call atau sampai ke AI client.
Anda dapat menghubungkan server ini ke client yang kompatibel dengan MCP seperti Claude Desktop, Cursor, Windsurf, Zed, atau Cline. Server ini menyediakan delapan tool spesifik, termasuk get_costs, get_waste, get_inventory, dan get_commitments. Dirancang secara read-only, artinya server dapat melaporkan instance yang idle, node yang kebesaran (oversized), dan resource yang tidak terlampir tanpa risiko mengubah atau menghapus infrastruktur cloud apa pun. Untuk pengguna GCP, menyediakan tabel billing BigQuery memungkinkan pelaporan biaya yang presisi, sementara pengguna AWS dapat menentukan target role ARN untuk memindai berbagai akun berbeda.
Apa yang bisa Anda lakukan dengannya
- 1Identifikasi pemborosan resource cloudMinta AI agent Anda untuk menemukan instance yang idle atau resource yang tidak terlampir guna mengurangi pengeluaran bulanan.
- 2Verifikasi konektivitas penyedia cloudPeriksa akun cloud mana saja yang sudah terkonfigurasi dengan benar dan dapat diakses oleh server.
Ditulis berdasarkan README proyek. Setiap use case diperiksa terhadap kutipan dari README tersebut.
Cara menginstal cloud-tools MCP
Format diverifikasi 10 Nov 2026Tambahkan ke CursorTambahkan ke GooseInstal cloud-tools MCP di Claude Code
$ claude mcp add cloud-tools -- npx -y @munhq/cloud-toolsInstal cloud-tools MCP di Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"cloud-tools": {
"command": "npx",
"args": [
"-y",
"@munhq/cloud-tools"
]
}
}
}Instal cloud-tools MCP di VS Code
.vscode/mcp.json
{
"servers": {
"cloud-tools": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@munhq/cloud-tools"
]
}
}
}Instal cloud-tools MCP di VS Code CLI
$ code --add-mcp '{"name":"cloud-tools","type":"stdio","command":"npx","args":["-y","@munhq/cloud-tools"]}'Instal cloud-tools MCP di Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"cloud-tools": {
"command": "npx",
"args": [
"-y",
"@munhq/cloud-tools"
]
}
}
}Instal cloud-tools MCP di Codex
$ codex mcp add cloud-tools -- npx -y @munhq/cloud-toolsInstal cloud-tools MCP di Codex config.toml
~/.codex/config.toml
[mcp_servers.cloud-tools] command = "npx" args = ["-y", "@munhq/cloud-tools"]
Instal cloud-tools MCP di Gemini CLI
$ gemini mcp add -s user cloud-tools npx -- -y @munhq/cloud-toolsInstal cloud-tools MCP di Gemini settings.json
~/.gemini/settings.json
{
"mcpServers": {
"cloud-tools": {
"command": "npx",
"args": [
"-y",
"@munhq/cloud-tools"
]
}
}
}Tool cloud-tools MCP 9
Terdeteksi dari READMEcheck_accessget_costscompare_costsget_inventoryget_wasteget_commitmentsget_recommendationsget_cross_cloud_summarycomplete
| check_access | — | |
| get_costs | — | |
| compare_costs | — | |
| get_inventory | — | |
| get_waste | — | |
| get_commitments | — | |
| get_recommendations | — | |
| get_cross_cloud_summary | — | |
| complete | — |
Konfigurasi
CLOUD_TOOLS_MODEmcp for an MCP client over stdio, http for the REST API. Defaults to mcp, which is what every MCP client wants.
| Nama | Deskripsi | Tipe |
|---|---|---|
| CLOUD_TOOLS_MODE | mcp for an MCP client over stdio, http for the REST API. Defaults to mcp, which is what every MCP client wants. |
Pengecekan otomatis
Berjalan 13 Nov 2026Laporan lengkap →Lolos checks otomatis kami. Ini bukan audit keamanan: baca kodenya dan berikan server akses paling terbatas yang dibutuhkannya. Cara kerja checks
- Source repository terhubung dan dapat dijangkauLolos
- Lisensi open source (OSI)Lolos
- Ada commit atau release dalam satu tahun terakhirLolos
- Nama package tidak mirip dengan package populerLolos
- Remote endpoint menggunakan HTTPSTidak diperiksa
- Tools yang bersifat destruktif telah diberi labelLolos
- Tidak ada instruksi tersembunyi untuk modelLolos
- Tidak ada advisory kritis pada paket atau dependensinyaLolos
README
Lihat di GitHubMulti-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_IDandAWS_SECRET_ACCESS_KEY~/.aws/credentials, profile fromAWS_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 <name> --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.gzarchives under the old asset names, and@munhq/cloud-toolsis not on npm. The three commands below start working the momentv0.2.0is 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, viarmcphttp— 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.
Pertanyaan tentang cloud-tools MCP
Bagaimana cara menambahkan cloud-tools MCP ke Claude Code?
Jalankan claude mcp add cloud-tools -- npx -y @munhq/cloud-tools di terminal Anda. Tambahkan --scope user agar tersedia di semua proyek.
Bagaimana cara menambahkan cloud-tools MCP ke Cursor?
Buka ~/.cursor/mcp.json dan tambahkan server di bawah mcpServers, menggunakan config Cursor yang ditunjukkan di bagian instalasi di atas.
Tool apa yang disediakan cloud-tools MCP?
Server ini menyediakan 9 tool, termasuk check_access, get_costs, compare_costs, get_inventory, get_waste.
Apakah server ini menangani kredensial cloud saya?
Tidak, kredensial tidak pernah muncul dalam tool call. Server membacanya langsung dari environment miliknya sendiri, sehingga agent tidak akan pernah menangani secret tersebut.
Apakah akses server ke akun cloud saya bersifat destruktif?
Tidak, server ini bersifat read-only dan tidak membuat, mengubah, atau menghapus resource cloud apa pun.
Bagaimana cara mengetahui apakah hasil nol berarti tidak ada pemborosan atau pemindaian gagal?
Periksa field coverage; jika 'complete' berarti tidak ada pemborosan, sedangkan 'PARTIAL' menunjukkan ada beberapa panggilan API yang gagal sehingga akun tidak dapat dibaca sepenuhnya.
Apakah server ini mengumpulkan telemetri atau data pengguna?
Tidak, server ini tidak mengumpulkan apa pun, termasuk tidak ada telemetri, analitik, atau identifier.