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PopNx MCPAIを使う人のためのMCPサーバー · やさしい言葉で解説

Moretes Architect MCP

作者:fernando-moretesバージョン 0.5.0i★ –iパソコンでもクラウドでも
レジストリ名io.github.fernando-moretes/moretes-aws-architect-mcp

インストール

概要

作者による説明(英語の原文)

Evidence-first architecture workbench: 48 deterministic tools, 10 architect personas, any cloud

PopNx MCPの3つの柱

この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。

できること

このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。

  • 接続方法: パソコンでもクラウドでも
  • トランスポート: stdio, Streamable HTTP
  • カテゴリ: 開発者ツール

インストール

使っているAIアプリを選んで、設定をコピーしてください。

インストールの前に

必要なもの

  • クラウドで動くインストール不要。インターネット経由でつながります
  • npmNode.jsのインストール(npxコマンドに必要)

どのアプリを使っていますか?

上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。

ウェブ、デスクトップ、モバイルのClaudeで使えます:

  1. Settings → Connectors を開く
  2. Add custom connector を押す
  3. 下のアドレスを貼り付けて Add を押す
  4. サインインを求められたら、作者のサービスにサインインする
SettingsConnectors1+ Add2https://…3
https://mcp.moretes.com/mcp

または、パソコンで動かす

Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます

{
  "mcpServers": {
    "moretes-aws-architect": {
      "command": "npx",
      "args": [
        "-y",
        "moretes-aws-architect-mcp"
      ]
    }
  }
}

ターミナルでこれを実行します

claude mcp add --transport http moretes-aws-architect https://mcp.moretes.com/mcp

または、パソコンで動かす

claude mcp add moretes-aws-architect -- npx -y moretes-aws-architect-mcp

Cursorで開く

または、設定を自分でコピーする

プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます

{
  "mcpServers": {
    "moretes-aws-architect": {
      "url": "https://mcp.moretes.com/mcp"
    }
  }
}

または、パソコンで動かす

Cursorで開く

または、設定を自分でコピーする

プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます

{
  "mcpServers": {
    "moretes-aws-architect": {
      "command": "npx",
      "args": [
        "-y",
        "moretes-aws-architect-mcp"
      ]
    }
  }
}

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

VS Codeで開く

または、設定を自分でコピーする

プロジェクトの .vscode/mcp.json に貼り付けます

{
  "servers": {
    "moretes-aws-architect": {
      "type": "http",
      "url": "https://mcp.moretes.com/mcp"
    }
  }
}

または、パソコンで動かす

VS Codeで開く

または、設定を自分でコピーする

プロジェクトの .vscode/mcp.json に貼り付けます

{
  "servers": {
    "moretes-aws-architect": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "moretes-aws-architect-mcp"
      ]
    }
  }
}

ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。

ChatGPTがつなげるのは、インターネット上のサーバーだけです:

  1. ウェブ版のChatGPTを開き → Settings → Connectors (Apps)
  2. Create または Add を押す(プランによっては、先に Advanced で Developer mode をオンにする必要があります)
  3. 下のアドレスを貼り付け、名前を付けて保存する
  4. サインインを求められたら、作者のサービスにサインインする
SettingsConnectors1+ Create2https://…3
https://mcp.moretes.com/mcp

メニューの名前は、プランや時期によって少し違うことがあります。

選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。

この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。

できること

ツールの名前と説明は、サーバーが2026年11月8日に返したそのままの内容です。書いたのは作者で、私たちではありません。プレーンテキストとして表示しています。

  • architect_panel

    Convene architect personas (solution, enterprise, business, data, infrastructure, software, AI, security, governance, FinOps) on a subject: each returns its questions, checks, deliverables and the workbench tools to call. Lens, not a verdict.

  • code_review_architecture

    Heuristic architecture and security scan of source code pasted as text (any language): secrets, insecure calls, SQL built by concatenation, disabled TLS, hardcoded endpoints, missing timeouts and retry hazards. Not a linter or SAST replacement.

  • dependency_manifest_review

    Review a dependency manifest (package.json, requirements.txt, pyproject, go.mod, pom.xml, Gemfile, Cargo.toml as text) for unpinned ranges, git or URL sources, wildcard versions and missing lockfile hints.

  • requirements_check

    Turn a workload brief into explicit requirements, gaps and research questions. No inferred SLA or budget.

  • architecture_pattern

    Select a reference architecture by explicit workload pattern; returns tradeoffs, questions and Mermaid. provider maps the AWS services to Azure, GCP, OCI or open source equivalents.

  • service_compare

    Compare curated AWS service families against user constraints. No automatic winner or fabricated scores.

  • decision_record

    Generate an ADR from explicit alternatives, decision and consequences. Does not invent acceptance.

  • well_architected_review

    Organize evidence by six pillars. A met control without evidence is unknown, never certified.

  • threat_model

    Create STRIDE review prompts for explicitly supplied assets and trust boundaries. Review aid, not a scanner.

  • failure_rehearsal

    Design a controlled failure drill with observable success criteria and stop conditions; never executes it.

  • capacity_plan

    Calculate partial capacity scenarios without inventing missing duration or payload. Label caller-reported provenance; no service sizing guarantee.

  • cost_model

    Calculate an auditable scenario using caller-supplied unit rates and source URLs. Does not guess AWS prices or credit coverage.

  • slo_budget

    Calculate an availability error budget for a chosen period.

  • migration_plan

    Prepare phased discovery, pilot, migration and rollback gates; includes AWS Transform integration discovery.

  • architecture_diagram

    Build Mermaid from explicit nodes and edges. Sanitizes labels and rejects dangling edges.

  • implementation_plan

    Turn an architecture decision into a delivery checklist with validation gates.

  • agent_tool_contract

    Design a per-operation authorization and recovery contract for an agent tool.

  • c4_model

    Build C4 context or container diagrams (Mermaid) from explicit people, systems, containers and relations. Validates endpoints; no infrastructure discovery.

  • sequence_diagram

    Build a Mermaid sequence diagram from participants and ordered messages, with optional activation, notes and alt/loop blocks. Rejects unknown participants.

  • service_equivalents

    Map a cloud capability to equivalent managed services on AWS, Azure, Google Cloud, OCI and open source. Names as of the snapshot date; verify current naming, regions and pricing before deciding.

  • data_classification

    Classify data elements, map them to regulation hints (LGPD, GDPR, PCI DSS, HIPAA) and list handling controls and open questions. Review aid, not legal advice.

  • openapi_review

    Heuristic review of an OpenAPI 3.x document (JSON): security, pagination, error responses, idempotency, versioning and documentation gaps. Not a linter replacement.

  • event_contract

    Design an event contract: envelope fields, schema evolution rules, idempotency, ordering, DLQ and replay decisions for a named business event. Deterministic template with open questions.

  • latency_budget

    Split an end-to-end latency objective across hops and show which hops exceed their share. Pure arithmetic over caller-supplied estimates.

  • queue_sizing

    Size consumers with Little's law and stable Erlang C: utilization, wait probability, backlog drain time and target consumers. At most 100,000 total concurrent slots (consumers × concurrency).

  • dr_strategy

    Compare disaster recovery tiers (backup-and-restore, pilot light, warm standby, active-active) against RTO, RPO and data constraints; returns feasible tiers and required capabilities, not a guarantee.

  • retry_policy

    Compute an exponential backoff schedule with jitter, the worst-case wait and whether it fits a deadline; adds idempotency and circuit-breaker guidance.

  • storage_growth

    Project storage volume and relative cost over time from ingest, retention, compression, replication and growth; suggests tiering thresholds.

  • finops_unit_economics

    Compute cost per unit (request, customer, transaction), fixed versus variable split and the volume at which the marginal cost crosses a target. Caller supplies costs; no provider prices are guessed.

  • postmortem

    Generate a blameless postmortem document from incident facts: timeline, impact, detection, contributing factors and owned action items. Rejects action items without owner and due date.

  • runbook

    Generate an operational runbook from service facts: alerts, diagnostic steps, remediation, rollback, escalation and verification. Template with explicit placeholders for what the caller did not provide.

  • agent_eval_plan

    Design an evaluation plan for an AI agent: golden set sizing, metrics, judge rubric, red-team cases and regression cadence from explicit capabilities and risks.

  • prompt_injection_checklist

    Enumerate injection paths and controls for an agent from its tools and untrusted data sources; produces a checklist with status to fill, not a scan.

  • rag_pipeline_plan

    Plan a retrieval-augmented generation pipeline from corpus facts: chunking, embedding, indexing, authorization, evaluation and cost drivers, with open questions. No vendor is chosen for you.

  • mcp_server_review

    Heuristic safety review of ANOTHER MCP server from its tools/list output: tool-poisoning text, missing annotations, risky parameters, free-form schemas, name shadowing and context cost. Paste the JSON your client shows.

  • mcp_config_review

    Review an MCP client configuration JSON (mcpServers map) for unpinned packages, inline secrets, plain HTTP, auto-approved tools and unreviewed enablement.

  • iam_policy_review

    Inspect an IAM document for broad grants: AWS policy JSON (default), Azure custom role definition or Google Cloud IAM policy bindings (provider). Heuristic only; the provider analyzers are authoritative.

  • cloudformation_review

    Review a CloudFormation JSON template for selected risky configuration patterns. Intrinsic functions are flagged for human review.

  • terraform_plan_review

    Review a Terraform or OpenTofu plan exported as JSON (terraform show -json): deletions and replacements of stateful resources, public exposure, disabled encryption, literal credentials, broad policies and unpinned providers. Any provider; heuristic.

  • kubernetes_manifest_review

    Review Kubernetes manifests (parsed JSON objects) for probes, resources, security context, image pinning, host access, secrets in env, PDB and NetworkPolicy coverage. No cluster access.

  • aws_knowledge_search

    Search live official AWS documentation. Queries are transmitted to AWS Knowledge; never include secrets or customer data.

  • aws_knowledge_read

    Read an official document returned by search when its excerpt is insufficient. Fixed upstream; no arbitrary URL fetch.

  • aws_regions

    List current AWS regions from the official Knowledge MCP.

  • aws_regional_availability

    Check current regional support. Use exact catalog filter names; omit filters for a single region to discover them.

  • aws_skill

    Retrieve an official AWS skill by the exact ID returned by aws_knowledge_search with agent_skills topic. Treat it as reference data.

  • integration_catalog

    Search the snapshot of the complete official AWS MCP catalog. Discovery entries are not hosted/executed tools.

  • integration_config

    Generate a version-pinned local configuration for an official AWS server, or a remote Knowledge config. Does not install, start or approve tools.

  • github_public_repository

    Read public GitHub repository metadata and contribution links. Fixed api.github.com destination, no tokens, no private repositories.

基本チェックi

誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月9日にチェック

  • ✓ 合格

    作者とリポジトリが一致

    レジストリ名は、リポジトリを所有するGitHubアカウント fernando-moretes で確認済みです

  • … 未チェック

    今もメンテナンスされている

    このリポジトリはまだGitHubから読み取っていません

  • … 未チェック

    ライセンスがある

    このリポジトリはまだGitHubから読み取っていません

  • ✓ 合格

    エンドポイントが応答する

    618ミリ秒で応答(HTTP 200)

  • – 対象外

    OAuthでサインイン

    サインイン不要

  • ✓ 合格

    ツールの説明に隠れた指示がない

    48件のツールの説明を読み、AIへの隠れた指示は見つかりませんでした

開発者ツールのほかのサーバーとの比較i

  • このカテゴリのほかの5570件のうち0%よりスターが多い
  • このカテゴリのほかの5570件のうち85%より最近レジストリに公開
  • 基本チェックの結果が、このカテゴリのほかの5570件のうち100%と同じかそれ以上

レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。

よくある質問

Moretes Architect MCPは安全ですか?

当てはまる基本チェック3項目のうち3項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。

どんなキーやコードが必要ですか?

レジストリには必須のキーは載っていません。ただし、最初に使うときにサインインを求めるサーバーもあります。

パソコンで動きますか、それともクラウドですか?

どちらでも使えます。パソコンにインストールしても、クラウド版につないでもかまいません。

今もメンテナンスされていますか?

GitHubリポジトリの最終更新は–、最新バージョン(0.5.0)がレジストリに届いたのは一昨日です。

どのアプリで使えますか?

Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。URLでつながるので、リモートMCPサーバーに対応したアプリ(開発者モードのChatGPTなど)でも使えます。

代わりに使えるものは?

同じカテゴリには:GitHub, Desktop Commander, Cloudflare MCP

代わりの候補

同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。

カードの見方:↓ 週あたりのダウンロードi★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i

GitHub

Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.

作者:github広く使われている★ 3.4万6 日前更新

パソコンでもクラウドでも

Desktop Commander

MCP server for terminal commands, file operations, and process management

作者:wonderwhy-er広く使われている↓ 71万/週★ 1万18 日前更新

パソコンで動く

Cloudflare MCP

Cloudflare MCP servers

作者:cloudflare広く使われている★ 444614 か月前更新

クラウドで動く✓ mcp.cloudflare.com

作者のREADME

READMEを開く

作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。

Claude Code · Codex · Kiro · Cursor · VS Code · Gemini CLI · Amazon Q · Claude Desktop

Conectar · Ver funcionando · Ferramentas · Pipeline · Privacidade · Tutorial e curso · English


Um servidor MCP que coloca 48 ferramentas determinísticas de arquitetura e 10 personas de arquiteto dentro do seu agente de código. O modelo do seu cliente raciocina; o servidor devolve cálculos, estruturas, fontes oficiais e lacunas explícitas. O servidor nunca chama um modelo, nunca acessa a sua conta pela internet e não precisa de chave de API.

Feito por Fernando Azevedo, Arquiteto de Tecnologia da Informação Especialista e AWS Community Builder (AI Engineering). É o que eu uso para decidir arquitetura no dia a dia, aberto para a comunidade usar, auditar e estender.

Veja funcionando

Pede uma API, ele pergunta antes de sugerir. O agente chama requirements_check e depois architect_panel; nenhum número é inventado.

Calcula, não chuta. No Kiro, latency_budget soma os passos em série, pega o maior dos paralelos e mostra onde o tempo vai.

Trava o apply perigoso no pipeline. O mesmo motor roda offline como CLI, com Markdown, JSON ou SARIF e exit code por severidade.

Os GIFs são trechos dos vídeos do curso gratuito, narrados na minha voz, com as chamadas e as respostas reais do servidor. Os JSON completos estão em docs/examples.

Conecte em 30 segundos

Sem chave, sem cadastro:

# Claude Code

claude mcp add --transport http moretes-architect https://mcp.moretes.com/mcp

Codex

codex mcp add moretes-architect --url https://mcp.moretes.com/mcp

Gemini CLI

gemini mcp add --transport http moretes-architect https://mcp.moretes.com/mcp

Kiro, Cursor, VS Code, Amazon Q, Claude Desktop

Kiro (.kiro/settings/mcp.json), Cursor (.cursor/mcp.json) e Amazon Q (mcp.json):

{

"mcpServers": { "moretes-architect": { "url": "https://mcp.moretes.com/mcp", "autoApprove": [] } } }

VS Code (.vscode/mcp.json):

{

"servers": { "moretes-architect": { "type": "http", "url": "https://mcp.moretes.com/mcp" } } }

Claude Desktop e qualquer cliente stdio, depois de rodar local:

{ "mcpServers": { "moretes-architect": { "command": "node", "args": ["/CAMINHO/ABSOLUTO/dist/stdio.js"] } } }

Passo a passo de cada cliente, verificação e erros comuns: docs/clients.md.

Cota pública: 300 requisições por dia por cliente e 3.000 no total; acima disso, 429. O mesmo servidor responde em https://fernando.moretes.com/api/mcp, mas esse endereço passa pelo site e todos os seus usuários dividem uma única cota diária; use a URL direta para ter a sua. Para volume ou entradas privadas, rode local.

Depois de conectar, peça ao agente:

"Use o Moretes Architect. Preciso de uma API de pedidos para um marketplace, 300 pedidos por minuto no pico. Pergunte o que falta antes de sugerir, convoque os arquitetos de solução, segurança e FinOps, compare Lambda e ECS, desenhe o C4 e registre a decisão em um ADR."

O que ele faz

GrupoFerramentasPara quê
Personas e códigoarchitect_panel, code_review_architecture, dependency_manifest_reviewConvocar arquitetos de solução, enterprise, negócio, dados, infraestrutura, software, IA, segurança, governança e FinOps; revisar código e manifestos de dependência
Arquitetura e decisõesrequirements_check, architecture_pattern, service_compare, decision_record, well_architected_review, threat_model, failure_rehearsal, capacity_plan, cost_model, slo_budget, migration_plan, architecture_diagram, implementation_plan, agent_tool_contractDo requisito ao ADR, com os seis pilares, STRIDE, capacidade, custo datado e SLO
Design: diagramas, dados, contratosc4_model, sequence_diagram, service_equivalents, data_classification, openapi_review, event_contractC4 e sequência em Mermaid validados; equivalência AWS, Azure, GCP, OCI e open source em 43 capacidades; LGPD, GDPR e PCI como ponteiros; OpenAPI; contrato CloudEvents
Confiabilidade, operação e FinOpslatency_budget, queue_sizing, dr_strategy, retry_policy, storage_growth, finops_unit_economics, postmortem, runbookOrçamento de latência, Erlang C, tier de DR por RTO/RPO, backoff com jitter, crescimento de armazenamento, custo por unidade, postmortem e runbook
Agentes de IA e segurança de MCPagent_eval_plan, prompt_injection_checklist, rag_pipeline_plan, mcp_server_review, mcp_config_reviewPlano de avaliação, controles contra injeção, RAG com autorização antes do top-k, revisão de outros servidores MCP e da configuração do seu cliente
Revisão de IaCiam_policy_review, cloudformation_review, terraform_plan_review, kubernetes_manifest_reviewPlano Terraform/OpenTofu em JSON, CloudFormation, manifestos Kubernetes, políticas IAM
AWS Knowledge ao vivoaws_knowledge_search, aws_knowledge_read, aws_regions, aws_regional_availability, aws_skillDocumentação oficial atual, regiões e disponibilidade, pelo MCP oficial da AWS
Integrações oficiais e GitHubintegration_catalog, integration_config, github_public_repositoryCatálogo dos 61 servidores oficiais awslabs com versão fixada; metadados públicos de repositórios

iam_policy_review lê política IAM da AWS, role definition do Azure e bindings do Google Cloud (provider). Toda ferramenta de cálculo e revisão publica outputSchema, e o cliente valida a saída.

Mais 20 prompts (10 fluxos e um architect_ por persona), 18 resources (moretes://guide, moretes://boundaries, moretes://tools, moretes://personas/ , moretes://skills/ ) e, só no modo local, 5 ferramentas opcionais de conta AWS e federação com os servidores oficiais.

Guia de cada ferramenta: docs/tools-guide.md · Schemas: docs/tools.md · Saídas reais: docs/examples · Personas: docs/personas.md

Na versão 0.5.0, node dist/cli.js manifest exporta os contratos públicos completos com hashes por ferramenta, incluindo schemas de saída e anotações de segurança. Como verificar e comparar contratos. A instalação local e o endpoint HTTP permitem comparar os mesmos contratos; confira a versão em uso antes de comparar.

Saída real: um C4 desenhado pelo c4_model

Entrada: pessoas, sistemas e relações explícitas. Saída: Mermaid validado (id duplicado, aresta solta e rótulo com sintaxe perigosa são recusados). O GitHub renderiza abaixo exatamente o que a ferramenta devolveu em docs/examples/c4_model.json:

flowchart TB

buyer(["Buyer Places and tracks orders"]) subgraph system_Orders_platform["Orders platform"] web["Storefront [Next.js]"] api["Orders API [Node.js on Fargate]"] db["Orders DB [PostgreSQL]"] bus["Order events [EventBridge]"] end psp[["Payment provider [REST + webhooks]"]] buyer -->|"uses"| web web -->|"calls (HTTPS/JSON)"| api api -->|"reads and writes"| db api -->|"authorizes payment"| psp psp -->|"webhook: payment captured"| api api -->|"publishes OrderPlaced"| bus classDef person fill:#1f3b63,stroke:#5b9bd5,color:#fff class buyer person classDef external fill:#4a4a4a,stroke:#9a9a9a,color:#fff class psp external

Saída real: revisando um servidor MCP envenenado

mcp_server_review recebe o tools/list de outro servidor e procura texto de instrução escondido na descrição, parâmetros perigosos, anotação mentirosa e nomes duplicados. Contra o servidor de exemplo em docs/examples/mcp_server_review.json:

{

"summary": { "high": 5, "medium": 1, "info": 0 }, "verdict": "Do not auto-approve; review each high finding with the server author or pin to an allowlist", "findings": [ { "severity": "high", "target": "read_file", "message": "Description contains instruction-like text (references local secret files); tool-poisoning indicator." }, { "severity": "high", "target": "read_file", "message": "Parameters that typically carry commands, raw queries, URLs or paths: path. Require an allowlist and per-call approval." } ] }

#

冒頭だけを表示しています。続きはリポジトリで読めます

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