aws-cloud-toolkit#

Name#

• en: AWS Cloud Toolkit
• zh: AWS云服务工具包

Description#

• en: Comprehensive AWS cloud resource management toolkit supporting EC2, S3, RDS, Lambda operations with automated deployment and monitoring capabilities.
• zh: 全面的AWS云资源管理工具包，支持EC2、S3、RDS、Lambda操作，具备自动化部署和监控能力。

Tools#

EC2 Instance Management#

Tool: ec2_manager Description: Manage AWS EC2 instances - list, start, stop, create, terminate

Input Schema:

json

{
  "action": {"type": "string", "enum": ["list", "start", "stop", "create", "terminate"]},
  "instance_id": {"type": "string"},
  "instance_type": {"type": "string", "default": "t2.micro"},
  "image_id": {"type": "string"},
  "key_name": {"type": "string"},
  "security_group_ids": {"type": "array", "items": {"type": "string"}},
  "region": {"type": "string", "default": "us-east-1"}
}

Example:

json

{
  "action": "list",
  "region": "us-east-1"
}

S3 Bucket Operations#

Tool: s3_manager Description: Manage AWS S3 buckets - create, delete, list, upload, download objects

Input Schema:

json

{
  "action": {"type": "string", "enum": ["list_buckets", "create_bucket", "delete_bucket", "list_objects", "upload", "download", "delete_object"]},
  "bucket_name": {"type": "string"},
  "object_key": {"type": "string"},
  "local_path": {"type": "string"},
  "region": {"type": "string", "default": "us-east-1"}
}

Example:

json

{
  "action": "list_buckets",
  "region": "us-east-1"
}

Lambda Function Management#

Tool: lambda_manager Description: Deploy and manage AWS Lambda functions

Input Schema:

json

{
  "action": {"type": "string", "enum": ["list", "create", "update", "delete", "invoke"]},
  "function_name": {"type": "string"},
  "runtime": {"type": "string", "default": "python3.9"},
  "handler": {"type": "string"},
  "role_arn": {"type": "string"},
  "code_path": {"type": "string"},
  "region": {"type": "string", "default": "us-east-1"}
}

CloudWatch Monitoring#

Tool: cloudwatch_monitor Description: Monitor AWS resources with CloudWatch metrics and alarms

Input Schema:

json

{
  "action": {"type": "string", "enum": ["get_metrics", "create_alarm", "list_alarms", "get_logs"]},
  "namespace": {"type": "string"},
  "metric_name": {"type": "string"},
  "dimensions": {"type": "object"},
  "alarm_name": {"type": "string"},
  "threshold": {"type": "number"},
  "region": {"type": "string", "default": "us-east-1"}
}

Configuration#

Environment Variables:

bash

AWS_ACCESS_KEY_ID=your_access_key
AWS_SECRET_ACCESS_KEY=your_secret_key
AWS_DEFAULT_REGION=us-east-1

Usage Examples#

python

from aws_cloud_toolkit import EC2Manager, S3Manager, LambdaManager

# EC2 operations
ec2 = EC2Manager(region='us-east-1')
instances = ec2.list_instances()
ec2.start_instance('i-1234567890abcdef0')

# S3 operations
s3 = S3Manager(region='us-east-1')
s3.create_bucket('my-new-bucket')
s3.upload_file('my-bucket', 'data.csv', '/local/path/data.csv')

# Lambda operations
lambda_mgr = LambdaManager(region='us-east-1')
lambda_mgr.deploy_function('my-function', 'python3.9', 'handler.lambda_handler')

Installation#

bash

pip install boto3 python-dotenv

Requirements#

• Python 3.8+
• AWS Account with appropriate IAM permissions
• boto3 library