AI-powered cloud architecture - describe infrastructure in natural language, get Terraform, cost estimates, and compliance reports
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claude mcp add cloudwright -- uvx cloudwright{
"mcpServers": {
"cloudwright": {
"command": "uvx",
"args": ["cloudwright"],
"env": {
"ANTHROPIC_API_KEY": "<anthropic_api_key>"
}
}
}
}ANTHROPIC_API_KEYResumen de MCP Servers
# Cloudwright
*Describe a cloud architecture in English. Get Terraform, costs, and a compliance check.*
[](https://pypi.org/project/cloudwright-ai/) [](https://github.com/xmpuspus/cloudwright/actions/workflows/ci.yml) [](LICENSE) [](https://pypi.org/project/cloudwright-ai/) [](https://glama.ai/mcp/servers/xmpuspus/cloudwright)
<p align="center"><img src="examples/cloudwright-hero.gif" alt="A terminal runs cloudwright init, cost, compliance and plan. The compliance table maps every finding to a HIPAA and SOC 2 control ID. The plan step ends on a DEPLOYABLE verdict from terraform validate." width="820"></p>
```bash
pip install 'cloudwright-ai[cli]'
export ANTHROPIC_API_KEY=sk-ant-...
cloudwright design "HIPAA healthcare API on AWS with Postgres and Redis"
```
Cloudwright turns one line of English into a typed spec, a cost breakdown, a control-mapped compliance report,
and infrastructure code. It covers AWS, GCP, Azure and Databricks across 114 service keys. Only `design`,
`modify`, `chat` and `adr` call a model. Every other command runs offline and needs no API key.
[Quickstart](#quickstart) · [Compliance](#every-finding-carries-the-control-id-it-violates) · [Agents](#one-mcp-server-reaches-11-coding-agents) · [Docs](docs/) · [Changelog](CHANGELOG.md)
## A prompt produces a spec, a cost, a control-mapped report, and Terraform
- **Spec.** Typed YAML you commit, diff and review. Everything below reads from it.
- **Cost.** Per component and region-aware, with a confidence flag on every line.
- **Compliance.** HIPAA, SOC 2, PCI-DSS, FedRAMP, GDPR, ISO 27001 and NIST 800-53 control IDs.
- **Infrastructure code.** Terraform, OpenTofu, Pulumi (TypeScript or Python) and CloudFormation.
- **Diagrams.** ASCII, Mermaid, D2, and a web canvas you can edit by hand.
- **An MCP server**, so any coding agent runs the same checks inside its own loop.
Exports carry safe defaults. S3 gets a public-access block, SSE and versioning. RDS gets encryption, multi-AZ
and deletion protection. EC2 gets IMDSv2. A compliance framework overrides the workload profile, and always
forces encryption and high availability.
## Quickstart
```bash
cloudwright design "HIPAA healthcare API on AWS with Postgres and Redis"
cloudwright cost spec.yaml --workload-profile medium
cloudwright compliance spec.yaml --frameworks hipaa,soc2
cloudwright export spec.yaml --format terraform -o ./infra
cloudwright plan spec.yaml --target terraform # proves it deploys, never applies
cloudwright chat --web # canvas at http://localhost:8765
```
Add `--json` before any subcommand for machine-readable output, or `--stream` to watch tokens arrive. Set `ANTHROPIC_API_KEY` or `OPENAI_API_KEY` for the four commands that need a model.
## Every finding carries the control ID it violates
<p align="center"><img src="examples/cloudwright-controls-web-demo.gif" alt="The web canvas Compliance tab shows a per-framework table for HIPAA, SOC 2 and FedRAMP. Each row carries satisfied and violated control IDs. The Plan tab then returns a DEPLOYABLE verdict." width="820"></p>
Other tools scan infrastructure after you deploy it. Cloudwright maps each finding to its control before any
resource exists. The fix then costs a spec edit, not a change ticket. HIPAA `164.312(a)(2)(iv)`, SOC 2 `CC6.1`
and FedRAMP `SC-28` come from the built-in scanner, with no extra tooling. Checkov folds into the same report
when it sits on your PATH.
- `--oscal` writes an OSCAL 1.1.2 component-definition with deterministic UUIDs.
- `--traceability` prints the chain from component to resource to control to status.
- `cloudwright plan` runs `terraform validate` against the export, and never applies.
## The review needs no API key and no network
<p align="center"><img src="examples/cloudwright-review-demo.gif" alt="cloudwright review prints a severity-ranked table for the patient-portal spec. It scores the spec 39 out of 100, with 15 findings and 8 blocking. A second command traces each component and Terraform resource to a violated HIPAA control." width="760"></p>
`cloudwright review` runs the scorer, the linter and the validator over a spec, and returns one severity-ranked
report. The same three critics run inside `cloudwright design`. When blocking findings survive generation, the
architect repairs the spec once and records the change in `spec.metadata.critique`. Pass
`Architect(repair=False)` to turn that off.
## Canvas edits never call the model, so they are instant and free
<p align="center"><img src="examples/cloudwright-smart-canvas-demo.gif" alt="The web canvas with a boundary-aware diagram. A catalog drawer adds an ElastiCache node, a side panel edits its label and config, and the cost total updates." width="820"></p>
Add, drag, connect, edit and delete are deterministic frontend mutations. The Catalog drawer serves the resource
list per provider and five approved multi-resource modules. Its standards check flags orphan connections,
partial modules and missing tags. An intact module exports as a single Terraform `module` block, with the
catalog's pinned source and version.
## One MCP server reaches 11 coding agents
```bash
cloudwright integrate --harness claude-code # exact wiring, in that client's format
cloudwright integrate --harness cursor --write # merge it into the right file
cloudwright integrate --rules --agent-file claude # a gate block for CLAUDE.md
```
Do not hand-write the config. `cloudwright integrate` emits it for Claude Code, Cursor, Cline, Windsurf, GitHub
Copilot, Zed, Codex CLI, Junie, Kiro and Antigravity. Aider gets a CLI-pipe recipe instead, because it speaks
no MCP. Every client wants a different shape: Zed wants `context_servers`, Copilot wants `servers`, and Codex
wants a TOML table.
The server exposes 22 tools in 9 groups: design, cost, validate, analyze, export, session, review, compliance
and plan. Full matrix in [docs/integrations.md](docs/integrations.md).
## Nine offline commands grade, scan and compare a spec
`lint` runs 10 anti-pattern checks. `score` grades 5 dimensions. `analyze` reports blast radius and single
points of failure. `policy` enforces policy-as-code with 9 built-in rules. `security` scans the spec and the
exported HCL. `drift` compares a design against a `tfstate`, and `--remediate` turns the gap into a cost,
compliance and plan preview.
`review`, `compliance` and `plan` are above. See [docs/cli-reference.md](docs/cli-reference.md).
## Python API
```python
from cloudwright import ArchSpec
from cloudwright.cost import CostEngine
from cloudwright.validator import Validator
from cloudwright.exporter import export_spec
spec = ArchSpec.from_file("spec.yaml")
priced = CostEngine().estimate(spec, workload_profile="medium")
findings = Validator().validate(spec, compliance=["hipaa", "pci-dss"])
hcl = export_spec(spec, "terraform", output_dir="./infra")
```
## v1.9.0 gave the diagram arrowheads and got the canvas off React Flow's defaults
Measured by driving all 16 `init` templates through the running app, and 8 interactions at 1920, 1440 and 390px.
- **Every connection draws an arrowhead.** The computed `markerEnd` was `none` on every edge.
- **Connection lines clear 3:1 contrast.** They ran at 1.42:1 in light and 1.81:1 in dark.
- **The canvas fits a phone.** The 0.5 zoom floor left 2 of 8 nodes off the pane at 390px; the floor is 0.12.
- **A drag inside a VPC pans the canvas.** It used to drag the box out of shape and save nothing.
- **A node moves the distance you drag it.** A tight boundary plus `extent: "parent"` allowed 5 to 10px.
- **Connections stop hiding behind cards.** 17 of them did across the 16 templates; 5 still do.
Earlier releases added control-ID mapping and `plan` (v1.5.0), the self-correcting architect and OSCAL (v1.6.0), `cloudwright integrate` (v1.7.0), and the dark theme and responsive layout (v1.8.0). Full history in [CHANGELOG.md](CHANGELOG.md).
## Compatibility
- Python 3.12+
- Models: Anthropic (Claude Sonnet, Haiku) and OpenAI (GPT-5+ family), auto-detected from env.
- Clouds: AWS, GCP, Azure, Databricks. 114 service keys total.
- Install variants: `cloudwright-ai[cli]`, `cloudwright-ai[web]`, `cloudwright-ai-mcp`.
## Contributing, license, changelog
- Contributing guide: [CONTRIBUTING.md](CONTRIBUTING.md)
- License: MIT, see [LICENSE](LICENSE)
- Full release history: [CHANGELOG.md](CHANGELOG.md)
Lo que la gente pregunta sobre cloudwright
¿Qué es xmpuspus/cloudwright?
+
xmpuspus/cloudwright es mcp servers para el ecosistema de Claude AI. AI-powered cloud architecture - describe infrastructure in natural language, get Terraform, cost estimates, and compliance reports Tiene 32 estrellas en GitHub y se actualizó por última vez today.
¿Cómo se instala cloudwright?
+
Puedes instalar cloudwright clonando el repositorio (https://github.com/xmpuspus/cloudwright) o siguiendo las instrucciones del README en GitHub. ClaudeWave también te ofrece bloques de instalación rápida en esta misma página.
¿Es seguro usar xmpuspus/cloudwright?
+
Nuestro agente de seguridad ha analizado xmpuspus/cloudwright y le ha asignado un Trust Score de 87/100 (tier: Trusted). Revisa el desglose completo de comprobaciones superadas y flags en esta página.
¿Quién mantiene xmpuspus/cloudwright?
+
xmpuspus/cloudwright es mantenido por xmpuspus. La última actividad registrada en GitHub es de today, con 4 issues abiertos.
¿Hay alternativas a cloudwright?
+
Sí. En ClaudeWave puedes explorar mcp servers similares en /categories/mcp, ordenados por popularidad o actividad reciente.
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