io.github.xmpuspus/cloudwright MCP Server
io.github.xmpuspus/cloudwright
Design cloud architectures and plan migrations with costs, compliance controls, and deployable infrastructure code.
What is the io.github.xmpuspus/cloudwright MCP server?
Cloudwright is an MCP server that turns natural-language descriptions into typed cloud architecture specifications, cost breakdowns, compliance reports mapped to control frameworks, and infrastructure code. It covers AWS, GCP, Azure, and Databricks, and supports migration planning with evidence-based closure gates. Only design, modify, chat, and ADR commands call a model; all other operations run offline.
Cloudwright helps architects and engineers design cloud systems and plan migrations by generating specifications, cost estimates, compliance mappings (HIPAA, SOC 2, PCI-DSS, FedRAMP, GDPR, ISO 27001, NIST 800-53), and ready-to-deploy infrastructure code in Terraform, OpenTofu, Pulumi, or CloudFormation. It includes a web canvas for visual editing, offline validation and scoring, and integrates with 11 coding agents (Claude Code, Cursor, Cline, Windsurf, GitHub Copilot, Zed, and others).
How to install io.github.xmpuspus/cloudwright
Copy-paste configuration for popular MCP clients.
Tools & capabilities
Tools this server exposes to the agent.
design— Generate a typed YAML spec from a natural-language architecture description.cost— Calculate per-component and region-aware cost estimates with confidence flags.compliance— Map findings to compliance control IDs across HIPAA, SOC 2, PCI-DSS, FedRAMP, GDPR, ISO 27001, and NIST 800-53.export— Generate infrastructure code in Terraform, OpenTofu, Pulumi (TypeScript or Python), or CloudFormation.plan— Validate exported infrastructure code and prove it deploys without applying changes.review— Run offline scoring, linting, and validation on a spec without calling a model.analyze— Report blast radius and single points of failure in a design.lint— Run 10 anti-pattern checks on a spec.score— Grade a spec across 5 dimensions.security— Scan the spec and exported HCL for security issues.policy— Enforce policy-as-code with 9 built-in rules.drift— Compare a design against a Terraform state file and optionally remediate gaps.migrate— Plan and verify cloud migrations with ordered waves, dependency graphs, and evidence-based closure gates.chat— Interactive web canvas for visual architecture design and editing.adr— Architecture Decision Record support.
Use cases
- Design a HIPAA-compliant healthcare API on AWS with automatic cost estimation and control mapping.
- Plan a multi-wave migration from on-premises to cloud with dependency ordering and evidence gates.
- Generate Terraform code for a multi-cloud architecture spanning AWS, GCP, and Azure.
- Validate a cloud design against compliance frameworks and export an OSCAL component definition.
- Compare your current infrastructure (via tfstate) against a desired design and generate a remediation plan with costs.
io.github.xmpuspus/cloudwright MCP server FAQ
Cloudwright is an MCP server that generates cloud architecture specifications, cost estimates, compliance reports, and infrastructure code from natural-language descriptions. It supports AWS, GCP, Azure, and Databricks, and includes migration planning with evidence-based closure.
Cloudwright is open-source (MIT license) and free to install. Design, modify, chat, and ADR commands require an Anthropic or OpenAI API key; all other commands run offline with no API calls.
Install via `pip install 'cloudwright-ai[cli]'` or `cloudwright-ai-mcp`, then run `cloudwright integrate --harness cursor` or `--harness claude-code` to generate the exact configuration for your client.
Cloudwright maps findings to HIPAA, SOC 2, PCI-DSS, FedRAMP, GDPR, ISO 27001, and NIST 800-53 control IDs. It can also export OSCAL 1.1.2 component definitions.
Yes. Commands like review, compliance, cost, export, plan, lint, score, analyze, policy, security, and drift run entirely offline. Only design, modify, chat, and adr require a model API key.
Cloudwright exports Terraform, OpenTofu, Pulumi (TypeScript or Python), and CloudFormation. The plan command validates Terraform before deployment.
README (reference)
Source of truth, from the repository.
Cloudwright
Design a cloud architecture or plan a migration. Get costs, controls, code, and checked evidence.
<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>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 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 migrate demo # packaged migration proof, fully offline
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.
Migration plans stop when evidence is missing
<p align="center"><img src="examples/cloudwright-migration-web-demo.gif" alt="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." width="820"></p>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.yaml
cloudwright migrate verify examples/migrations/ph-telco-project.yaml examples/migrations/ph-telco-evidence.yaml
<p align="center"><img src="examples/cloudwright-migration-cli-demo.gif" alt="The offline CLI builds five PH telco migration waves and costs. It checks 22 gates and returns Ready to close." width="760"></p>
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
<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 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.
--oscalwrites an OSCAL 1.1.2 component-definition with deterministic UUIDs.--traceabilityprints the chain from component to resource to control to status.cloudwright planrunsterraform validateagainst 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
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 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 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")
v1.10.0 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 verifyreturn 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
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