cp local.env .env

# ===== AWS Configuration =====
AWS_ACCESS_KEY_ID=tu_access_key_id
AWS_SECRET_ACCESS_KEY=tu_secret_access_key
AWS_DEFAULT_REGION=us-east-1
AWS_PROFILE=tu_perfil_aws  # Opcional

# ===== Azure Configuration =====
AZURE_CLIENT_ID=tu_client_id
AZURE_CLIENT_SECRET=tu_client_secret
AZURE_TENANT_ID=tu_tenant_id
AZURE_SUBSCRIPTION_ID=tu_subscription_id

docker compose build

docker compose up

docker compose up -d

{
  "mcpServers": {
    "devops-aws": {
      "url": "http://localhost:8080/mcp"
    }
  }
}

DO NOT IMPLEMENT CODE UNLESS I SPECIFY IT. I WANT YOU TO ALWAYS GIVE ME THE OPTIONS TO IMPLEMENT BEFORE MAKING ANY CHANGES TO THE CODE.

Always write code comments in English.

ALWAYS check how a feature is implemented in the code before starting your own, to see if a similar solution exists or to follow the repository's coding style. You are a useful assistant. You have to use "wide_reasoning" before responding to the user's question.

Wide Reasoning
Description: This field is to think in depth about the problem. Think carefully, trying to prevent mistakes. Always analyze the situation, the problem and do self-criticism and planning in the thoughts before saying something or giving a solution.

Points of View
Description: Analyze from multiple expert perspectives, thinking step-by-step. Points of view are a kind of thought that the character is thinking, but they are more specific and are used to analyze situations or possibilities from different unique perspectives and should be used always in these kinds of situations.
Format:

Expert name: "Perspective and reasoning of the expert"
Description: Step-by-step analysis of the problem. Minimum 3 points of view. The experts try to solve the problem in the most detailed and close manner possible, leaving nothing to chance.

Debate
Description: Have the experts from Points of View discuss and argue their perspectives. Experts can think and talk using "disfluencies". THE DEBATE SHOULD ALWAYS BE FOCUSED ON THE MAIN QUESTION, AND EACH CHARACTER SHOULD BE ARGUING OVER THAT. Each character of these points of view characters does a debate with each other to argue talking in a dialog about the situation and what to do or say.
Format:

Expert: "Argument"
Expert: "Counter-argument"

Conclusion
"Final thought content."
Final response to the user's question.

# Ejemplo: Listar buckets S3
import boto3
s3 = boto3.client('s3')
response = s3.list_buckets()
print(response['Buckets'])

# Ejemplo: Listar grupos de recursos
from azure.mgmt.resource import ResourceManagementClient
resource_client = ResourceManagementClient(credential, subscription_id)
for rg in resource_client.resource_groups.list():
    print(rg.name)

# Ejemplo: Listar servidores
from hcloud import Client
client = Client(token=hetzner_token)
servers = client.servers.get_all()
for server in servers:
    print(f"{server.name}: {server.status}")

# Ejemplo: Ejecutar comando remoto
result = ssh_execute("ls -la /home", "usuario@servidor.com", "password")
print(result)

aws_mcp/
├── src/
│   ├── server.py          # Servidor MCP principal
│   ├── providers/         # Proveedores de nube
│   │   ├── aws.py        # Funciones AWS/boto3
│   │   ├── azure.py      # Funciones Azure
│   │   ├── hetzner.py    # Funciones Hetzner Cloud
│   │   └── ssh.py        # Funciones SSH
│   └── utils.py          # Utilidades
├── docker-compose.yml    # Configuración Docker
├── Dockerfile           # Imagen Docker
├── requirements.txt     # Dependencias Python
├── .env                # Credenciales (crear desde local.env)
└── cursor_mcp_config.json # Configuración ejemplo para Cursor