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PopNx MCPMCP servers for people who use AI · explained in plain words

Cloudwright

by xmpuspusversion 1.10.0i★ 33iRuns on your computer
Registry nameio.github.xmpuspus/cloudwright

How to install

Overview

Description from the maker (original English)

Cloud architecture and migration planning with costs, controls, evidence, and deployable IaC.

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

  • Connection: Runs on your computer
  • Transport: stdio
  • Category: Other

Install

Pick the AI app you use, then copy the settings.

Passed 2/2 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  3. Paste these settings and save the file

    {
      "mcpServers": {
        "cloudwright": {
          "command": "uvx",
          "args": [
            "cloudwright-ai-mcp"
          ]
        }
      }
    }
  4. Quit Claude and open it again

  5. Try it

    Use Cloudwright and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Cloudwright or shows a Cloudwright tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Cloudwright yet

Cloudwright runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Cloudwright

  • Install Python (uv) on your computer first (one time) · Only the Claude desktop app (Windows or Mac), not the web or phone
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)
  • Install Python (uv) on your computer first (one time)

B · Others in Other that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  3. Paste this command and press Enter

    claude mcp add cloudwright -- uvx cloudwright-ai-mcp
  4. Type /mcp in Claude Code

    You should see Cloudwright listed as connected

  5. Try it

    Use Cloudwright and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Cloudwright or shows a Cloudwright tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open Cursor

    Open in Cursor

    Cursor asks you to confirm; click Install

  3. Open the AI chat in Cursor in Agent mode

  4. Try it

    Use Cloudwright and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Cloudwright or shows a Cloudwright tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

Install Python (uv) on your computer first (one time)

  1. Install Python (uv)

    One time only; it works for every server that needs Python (uv)

    Open the Python (uv) download page ↗

  2. Click this button to open VS Code

    Open in VS Code

    VS Code asks you to confirm; click Install

  3. Open the AI chat in VS Code in Agent mode

  4. Try it

    Use Cloudwright and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Cloudwright or shows a Cloudwright tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Cloudwright💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

Claude Code

claude mcp add cloudwright -- uvx cloudwright-ai-mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "cloudwright": {
      "command": "uvx",
      "args": [
        "cloudwright-ai-mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "cloudwright": {
      "command": "uvx",
      "args": [
        "cloudwright-ai-mcp"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "cloudwright": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "cloudwright-ai-mcp"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

Downloads per weeki
85/wk
Licencei
No licence stated
Connection
Runs on your computer
Latest versioni
1.10.0
Categoryi
Other
Published to registryi
Aug 24, 2026
Code last changedi
Aug 24, 2026
Maker
xmpuspus
Packages
pypi: cloudwright-ai-mcp
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 11, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account xmpuspus, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 3 months ago

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Otheri

  • More stars than 98% of the other 19188 servers in this category
  • Published to the registry more recently than 27% of the other 19188 servers in this category
  • Basic checks equal to or better than 100% of the other 19188 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Cloudwright safe?

It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 3 months ago, and the latest version (1.10.0) reached the registry 3 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv) on your computer.

What can I use instead?

In the same category: World Monitor, Claude Flow, Tldraw

Alternatives

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 102 tools.

by koala73Widely used★ 90.5KUpdated 6 days ago

Runs in the cloud✓ worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

by ruvnetWidely used↓ 13.5K/wk★ 81.4KUpdated 14 months ago

Runs on your computer

Tldraw

Draw and visually collaborate with your agents on tldraw's canvas.

by tldrawWidely used★ 51.4KUpdated 8 months ago

Runs in the cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

Cloudwright

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

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

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

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

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 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

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 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