Cloudwright

Cloudwright

Design a cloud architecture or plan a migration. Get costs, controls, code, and checked evidence.

[PyPI] [CI] [License: MIT] [Python 3.12+] [xmpuspus/cloudwright MCP server]

[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.]

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. A source estate and target become ordered migration waves, explicit costs, and evidence gates. 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 · Migrations · Compliance · Agents · Docs · Changelog

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

cloudwright design "HIPAA healthcare API on AWS with Postgres and Redis"cloudwright cost spec.yaml --workload-profile mediumcloudwright compliance spec.yaml --frameworks hipaa,soc2cloudwright export spec.yaml --format terraform -o ./infracloudwright plan spec.yaml --target terraform          # proves it deploys, never appliescloudwright migrate demo                               # packaged migration proof, fully offlinecloudwright 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.

Migration plans stop when evidence is missing

[The Migration tab runs the PH telecommunications proof project. It reports five ordered waves, migration economics, 22 passing evidence gates, and a Ready to close result. The view then scrolls through the dependency route and evidence groups.]

The migration model covers infrastructure, applications, data, platforms, networks, facilities, and business services in one dependency graph. It works for on-premises, cloud, cross-cloud, hybrid, data-center, and application moves. It plans and checks work. It never copies data, applies infrastructure, switches traffic, or runs a cutover.

cloudwright migrate plan examples/migrations/ph-telco-project.yaml -o assessment.yamlcloudwright migrate verify examples/migrations/ph-telco-project.yaml examples/migrations/ph-telco-evidence.yaml

[The offline CLI builds five PH telco migration waves and costs. It checks 22 gates and returns Ready to close.]

The core has no telco fields. The first proof project selects an external ph_telco pack for subscriber, billing, usage-record, number-porting, privacy, recovery, and source-shutdown gates. A manufacturing ERP fixture proves the same planner works without that pack. Missing blocking evidence changes the result to closed: false and makes migrate verify exit with code 2. Each evidence file carries the deterministic assessment ID, so observations from an older target or cutover plan cannot close a revised assessment.

MCP clients use the same engine through plan_migration and verify_migration in the migration tool group.

See Migration planning and evidence for the file contract, Python API, HTTP routes, domain-pack format, limits, and recording commands.

Every finding carries the control ID it violates

[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.]

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 instead of 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

[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.]

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

[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.]

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

cloudwright integrate --harness claude-code       # exact wiring, in that client's formatcloudwright integrate --harness cursor --write    # merge it into the right filecloudwright 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 24 tools in 10 groups: design, cost, validate, analyze, export, session, review, compliance, plan and migration. Full matrix in docs/integrations.md.

Offline commands grade, scan, compare, and plan

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.

Python API

from cloudwright import ArchSpecfrom cloudwright.cost import CostEnginefrom cloudwright.validator import Validatorfrom 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")

v1.10.0 adds migration planning with evidence-based closure

• One model covers the full estate. Infrastructure, data, applications, platforms, networks, facilities, and business services share one dependency graph.
• Dependencies determine the waves. The planner schedules prerequisites first, rejects cycles, checks rollback paths, and reports unresolved mappings.
• Closure needs evidence. Missing or failed blocking observations prevent closure and make migrate verify return exit code 2.
• Industry rules stay outside the engine. Optional YAML packs add acceptance gates without adding industry fields to the core.
• PH telco is the first proof. The product remains industry-neutral. A manufacturing ERP fixture runs through the same planner with no domain pack.

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), the responsive dark-theme canvas (v1.8.0), and measured canvas interaction fixes (v1.9.0). Full history in 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
• License: MIT, see LICENSE
• Full release history: CHANGELOG.md