xmpuspus/cloudwright
by Various
AI-powered cloud architecture - describe infrastructure in natural language, get Terraform, cost estimates, and compliance reports
MCP
xmpuspus/cloudwright
Added 1 June 2026
Overview
Cloudwright is an open-source Python tool that translates natural language infrastructure descriptions into Terraform code. It also generates cost estimates and compliance reports from the same input.
Best for
Best for
Developers exploring rapid prototyping of cloud infrastructure with Terraform
Use cases
- Generate Terraform configurations from plain English prompts
- Get quick cost estimates for proposed cloud architectures
- Produce compliance reports for infrastructure designs
How to use
Install
pip install cloudwright-ai-mcp Tools exposed
designcostreviewcomplianceplan
Tested with
Claude Code, Cursor, Cline, Windsurf, GitHub Copilot, Zed, OpenAI Codex CLI, JetBrains Junie
Example client config
{\n "mcpServers": {\n "cloudwright": {\n "command": "cloudwright",\n "args": ["mcp"]\n }\n }\n} Notes
Cloudwright is an open-source Python tool that translates natural language infrastructure descriptions into Terraform code. It also generates cost estimates and compliance reports from the same input.
30 stars on GitHub. Last updated 2026-05-23. Licensed MIT.
Use cases
- Generate Terraform configurations from plain English prompts
- Get quick cost estimates for proposed cloud architectures
- Produce compliance reports for infrastructure designs
Pros
- Reduces time spent writing Terraform from scratch
- Combines cost and compliance checks in one workflow
- Open source with a permissive license
Cons
- Very small community (30 GitHub stars) limits support and reliability
- May produce incorrect or incomplete Terraform for complex architectures
- Dependent on natural language clarity; ambiguous prompts yield poor results
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Reduces time spent writing Terraform from scratch
- Combines cost and compliance checks in one workflow
- Open source with a permissive license
Cons
- Very small community (30 GitHub stars) limits support and reliability
- May produce incorrect or incomplete Terraform for complex architectures
- Dependent on natural language clarity; ambiguous prompts yield poor results
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