GitHub
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Descripción del creador (original en inglés)
Multi-cloud cost, inventory and waste analysis over MCP: AWS, GCP, Cloudflare and OVH.
Estos tres nunca se combinan en una sola puntuación: las opiniones, las mediciones y la popularidad son cosas distintas.
Todavía no escribimos un resumen sencillo para este. Abajo están los datos que leímos del registro.
Elige la app de IA que usas y copia la configuración.
CLOUD_TOOLS_MODENecesitas
¿Qué app usas?
Elige tu app arriba. La recordamos, así que la próxima vez el botón dirá “Instalar en …”.
Abre Claude Desktop → Settings → Developer → Edit Config y pega esto en claude_desktop_config.json
{
"mcpServers": {
"cloud-tools": {
"command": "npx",
"args": [
"-y",
"@munhq/cloud-tools"
],
"env": {
"CLOUD_TOOLS_MODE": "your-value"
}
}
}
}Ejecuta esto en tu terminal
claude mcp add cloud-tools --env CLOUD_TOOLS_MODE=your-value -- npx -y @munhq/cloud-toolsCompleta los valores vacíos antes de ejecutarlo.
Pégalo en .cursor/mcp.json de tu proyecto, o en ~/.cursor/mcp.json
{
"mcpServers": {
"cloud-tools": {
"command": "npx",
"args": [
"-y",
"@munhq/cloud-tools"
],
"env": {
"CLOUD_TOOLS_MODE": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Pégalo en .vscode/mcp.json de tu proyecto
{
"servers": {
"cloud-tools": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@munhq/cloud-tools"
],
"env": {
"CLOUD_TOOLS_MODE": "your-value"
}
}
}
}Tu navegador te pide permiso para abrir la app; luego la app muestra la configuración y te pide confirmar. Los valores de las claves quedan vacíos para que los completes tú.
Este se ejecuta en tu computadora, y ChatGPT solo puede conectarse a servidores en internet. Elige otra app.
Tu elección se guarda en una cookie en este dispositivo; no necesitas cuenta.
CLOUD_TOOLS_MODE envEsta configuración se genera a partir de la ficha del creador en el registro. Si el README dice otra cosa, sigue el README.
Se ejecuta en tu computadora; la lista de herramientas aparece en tu app de IA después de instalarlo.
Revisamos información que cualquiera puede ver; no hemos leído el código. Las revisiones que no aplican no se cuentan. · Revisado el 6 nov 2026
El nombre en el registro se verificó con la cuenta de GitHub munhq, dueña del repo
Todavía no hemos leído este repo en GitHub
Todavía no hemos leído este repo en GitHub
Este se ejecuta en tu computadora; no hay endpoint en internet
Se ejecuta en tu computadora y usa ajustes locales en su lugar
Se ejecuta en tu computadora; solo podemos leer listas de herramientas de endpoints en internet
Comparado con todos los servidores activos de esta categoría en el registro. Las estrellas solo cuentan cuando quien lo publica es dueño del repo.
Superó 1 de 1 revisiones básicas aplicables. No hemos leído el código. Antes de agregar una clave o un token, revisa qué acceso pide el servidor y usa una clave que tenga solo los permisos que necesitas.
El registro no indica ninguna clave obligatoria, aunque algunos servidores te piden iniciar sesión la primera vez que los usas.
Se ejecuta en tu computadora. Tu app de IA lo inicia cuando hace falta, y los datos no pasan por los servidores del creador (a menos que el propio servidor llame a un servicio en línea).
El repo de GitHub cambió por última vez –, y la última versión (0.2.0) llegó al registro hace 2 meses.
Las apps compatibles con MCP, como Claude Desktop, Claude Code, Cursor y VS Code. También necesitas Node.js en tu computadora.
En la misma categoría: GitHub, Desktop Commander, Cloudflare MCP
Servidores de la misma categoría hechos por otros creadores, ordenados por estrellas.
Cómo leer una tarjeta:★ Estrellas de GitHubiTres pilares: reseñas · revisiones · usoiActualizado = fecha en que se publicó la última versión en el registroi
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
Copiado tal cual del repo del creador. PopNx MCP no lo ha revisado ni lo respalda. Se quitaron HTML, imágenes y scripts. Los enlaces llevan fuera de este sitio.
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.