cloudwright
xmpuspus/cloudwright
Cloud architecture design for AWS, GCP, Azure and Databricks: cost estimates, compliance checks, Terraform/CloudFormation export and blast-radius analysis.
- Cloud integrations
Installation, supported tools and required credentials are maintained by the project.
Project details
- GitHub stars
- 32
- Language
- Python
- License
- MIT
- Forks
- 2
- Latest release
- v1.0.07mo ago
- Activity
- updated 1mo ago
- ai
- aws
- azure
- cli
- cloud-architecture
- cloud-design
- cost-estimation
- devops
First MCP server?Start with the basics
Suite of servers for integrating with AWS services and resources.
Integration with Cloudflare services including Workers, KV, R2 and D1.
Kubernetes bulk port forwarding with service discovery, /etc/hosts management, traffic monitoring and pod log streaming.
Kubernetes and OpenShift management: CRUD operations on any resource plus specialized cluster tools.
Kubernetes cluster operations for pods, deployments and services.
Terraform ecosystem integration: provider discovery, module analysis and Terraform Registry API access for infrastructure-as-code workflows.
Backend services for WeChat Mini Programs and full-stack apps: serverless cloud functions, databases and one-click deployment.
Interact with Kubernetes clusters through natural language.