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Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Beschreibung vom Entwickler (englisches Original)
Evidence-first architecture workbench: 48 deterministic tools, 10 architect personas, any cloud
Diese drei werden nie zu einer Punktzahl zusammengefasst: Meinungen, Messungen und Beliebtheit sind verschiedene Dinge.
Für diesen Server haben wir noch keine Zusammenfassung in einfacher Sprache geschrieben. Unten stehen die Fakten, die wir aus der Registry gelesen haben.
Wähle die KI-App, die du nutzt, und kopiere die Einstellungen.
Du brauchst
Welche App nutzt du?
Wähle oben deine App. Wir merken sie uns, damit der Button beim nächsten Mal „In … installieren“ anzeigt.
Funktioniert in Claude im Web, auf dem Desktop und auf dem Handy:
https://mcp.moretes.com/mcpÖffne Claude Desktop → Settings → Developer → Edit Config und füge dies in claude_desktop_config.json ein
{
"mcpServers": {
"moretes-aws-architect": {
"command": "npx",
"args": [
"-y",
"moretes-aws-architect-mcp"
]
}
}
}Führe das in deinem Terminal aus
claude mcp add --transport http moretes-aws-architect https://mcp.moretes.com/mcpclaude mcp add moretes-aws-architect -- npx -y moretes-aws-architect-mcpIn .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"moretes-aws-architect": {
"url": "https://mcp.moretes.com/mcp"
}
}
}In .cursor/mcp.json in deinem Projekt oder in ~/.cursor/mcp.json einfügen
{
"mcpServers": {
"moretes-aws-architect": {
"command": "npx",
"args": [
"-y",
"moretes-aws-architect-mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"moretes-aws-architect": {
"type": "http",
"url": "https://mcp.moretes.com/mcp"
}
}
}In .vscode/mcp.json in deinem Projekt einfügen
{
"servers": {
"moretes-aws-architect": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"moretes-aws-architect-mcp"
]
}
}
}Dein Browser fragt, ob er die App öffnen darf, dann zeigt die App die Einstellungen und bittet dich um Bestätigung. Schlüsselwerte bleiben leer, damit du sie selbst einträgst.
ChatGPT verbindet sich nur mit Servern im Internet:
https://mcp.moretes.com/mcpMenünamen können sich je nach Tarif und mit der Zeit leicht unterscheiden.
Deine Auswahl bleibt in einem Cookie auf diesem Gerät; kein Konto nötig.
Diese Einstellungen werden aus dem Registry-Eintrag des Entwicklers erzeugt. Wenn in der README etwas anderes steht, folge der README.
Tool-Namen und -Beschreibungen genau so, wie der Server sie am 8. Nov. 2026 gemeldet hat. Geschrieben hat sie der Entwickler, nicht wir; wir zeigen sie als reinen Text.
architect_panelConvene 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_architectureHeuristic 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_reviewReview 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_checkTurn a workload brief into explicit requirements, gaps and research questions. No inferred SLA or budget.
architecture_patternSelect 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_compareCompare curated AWS service families against user constraints. No automatic winner or fabricated scores.
decision_recordGenerate an ADR from explicit alternatives, decision and consequences. Does not invent acceptance.
well_architected_reviewOrganize evidence by six pillars. A met control without evidence is unknown, never certified.
threat_modelCreate STRIDE review prompts for explicitly supplied assets and trust boundaries. Review aid, not a scanner.
failure_rehearsalDesign a controlled failure drill with observable success criteria and stop conditions; never executes it.
capacity_planCalculate partial capacity scenarios without inventing missing duration or payload. Label caller-reported provenance; no service sizing guarantee.
cost_modelCalculate an auditable scenario using caller-supplied unit rates and source URLs. Does not guess AWS prices or credit coverage.
slo_budgetCalculate an availability error budget for a chosen period.
migration_planPrepare phased discovery, pilot, migration and rollback gates; includes AWS Transform integration discovery.
architecture_diagramBuild Mermaid from explicit nodes and edges. Sanitizes labels and rejects dangling edges.
implementation_planTurn an architecture decision into a delivery checklist with validation gates.
agent_tool_contractDesign a per-operation authorization and recovery contract for an agent tool.
c4_modelBuild C4 context or container diagrams (Mermaid) from explicit people, systems, containers and relations. Validates endpoints; no infrastructure discovery.
sequence_diagramBuild a Mermaid sequence diagram from participants and ordered messages, with optional activation, notes and alt/loop blocks. Rejects unknown participants.
service_equivalentsMap 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_classificationClassify 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_reviewHeuristic review of an OpenAPI 3.x document (JSON): security, pagination, error responses, idempotency, versioning and documentation gaps. Not a linter replacement.
event_contractDesign 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_budgetSplit an end-to-end latency objective across hops and show which hops exceed their share. Pure arithmetic over caller-supplied estimates.
queue_sizingSize 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_strategyCompare 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_policyCompute an exponential backoff schedule with jitter, the worst-case wait and whether it fits a deadline; adds idempotency and circuit-breaker guidance.
storage_growthProject storage volume and relative cost over time from ingest, retention, compression, replication and growth; suggests tiering thresholds.
finops_unit_economicsCompute 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.
postmortemGenerate a blameless postmortem document from incident facts: timeline, impact, detection, contributing factors and owned action items. Rejects action items without owner and due date.
runbookGenerate 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_planDesign 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_checklistEnumerate 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_planPlan 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_reviewHeuristic 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_reviewReview an MCP client configuration JSON (mcpServers map) for unpinned packages, inline secrets, plain HTTP, auto-approved tools and unreviewed enablement.
iam_policy_reviewInspect 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_reviewReview a CloudFormation JSON template for selected risky configuration patterns. Intrinsic functions are flagged for human review.
terraform_plan_reviewReview 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_reviewReview 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_searchSearch live official AWS documentation. Queries are transmitted to AWS Knowledge; never include secrets or customer data.
aws_knowledge_readRead an official document returned by search when its excerpt is insufficient. Fixed upstream; no arbitrary URL fetch.
aws_regionsList current AWS regions from the official Knowledge MCP.
aws_regional_availabilityCheck current regional support. Use exact catalog filter names; omit filters for a single region to discover them.
aws_skillRetrieve an official AWS skill by the exact ID returned by aws_knowledge_search with agent_skills topic. Treat it as reference data.
integration_catalogSearch the snapshot of the complete official AWS MCP catalog. Discovery entries are not hosted/executed tools.
integration_configGenerate a version-pinned local configuration for an official AWS server, or a remote Knowledge config. Does not install, start or approve tools.
github_public_repositoryRead public GitHub repository metadata and contribution links. Fixed api.github.com destination, no tokens, no private repositories.
Wir prüfen Informationen, die jeder sehen kann; den Code haben wir nicht gelesen. Checks, die nicht zutreffen, werden nicht mitgezählt. · Geprüft am 8. Nov. 2026
Der Registry-Name wurde mit dem GitHub-Konto fernando-moretes bestätigt, dem das Repo gehört
Dieses Repo haben wir noch nicht von GitHub gelesen
Dieses Repo haben wir noch nicht von GitHub gelesen
Antwort in 618 ms (HTTP 200)
Keine Anmeldung nötig
Wir haben 48 Tool-Beschreibungen gelesen und keine versteckten Anweisungen an die KI gefunden
Verglichen mit allen aktiven Servern dieser Kategorie in der Registry. Sterne zählen nur, wenn dem Herausgeber das Repo gehört.
Er hat 3 von 3 zutreffenden Basischecks bestanden. Den Code haben wir nicht gelesen. Bevor du einen Schlüssel oder Token hinzufügst, sieh nach, welche Zugriffe der Server verlangt, und nutze einen Schlüssel, der nur die Berechtigungen hat, die du brauchst.
Die Registry nennt keinen erforderlichen Schlüssel, manche Server bitten dich aber bei der ersten Nutzung, dich anzumelden.
Beides geht: Installiere ihn auf deinem Computer oder verbinde dich mit der Cloud-Version.
Das GitHub-Repo wurde zuletzt – geändert, und die neueste Version (0.5.0) kam gestern in die Registry.
Apps, die MCP unterstützen, etwa Claude Desktop, Claude Code, Cursor und VS Code. Er verbindet sich per URL, also funktionieren auch Apps, die Remote-MCP-Server akzeptieren, zum Beispiel ChatGPT im Entwicklermodus.
In derselben Kategorie: GitHub, Desktop Commander, Cloudflare MCP
Server derselben Kategorie von anderen Entwicklern, sortiert nach Sternen.
So liest du eine Karte:↓ Downloads pro Wochei★ GitHub-SterneiDrei Säulen: Bewertungen · Checks · NutzungiAktualisiert = neueste Version in der Registry veröffentlichti
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
MCP server for terminal commands, file operations, and process management
Unverändert aus dem Repo des Entwicklers übernommen. PopNx MCP hat den Inhalt weder geprüft noch empfiehlt es ihn. HTML, Bilder und Skripte wurden entfernt. Links führen von dieser Website weg.
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.
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.
Sem chave, sem cadastro:
# Claude Code
claude mcp add --transport http moretes-architect https://mcp.moretes.com/mcp
codex mcp add moretes-architect --url https://mcp.moretes.com/mcp
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."
| Grupo | Ferramentas | Para quê |
|---|---|---|
| Personas e código | architect_panel, code_review_architecture, dependency_manifest_review | Convocar arquitetos de solução, enterprise, negócio, dados, infraestrutura, software, IA, segurança, governança e FinOps; revisar código e manifestos de dependência |
| Arquitetura e decisões | requirements_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_contract | Do requisito ao ADR, com os seis pilares, STRIDE, capacidade, custo datado e SLO |
| Design: diagramas, dados, contratos | c4_model, sequence_diagram, service_equivalents, data_classification, openapi_review, event_contract | C4 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 FinOps | latency_budget, queue_sizing, dr_strategy, retry_policy, storage_growth, finops_unit_economics, postmortem, runbook | Orçamento 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 MCP | agent_eval_plan, prompt_injection_checklist, rag_pipeline_plan, mcp_server_review, mcp_config_review | Plano 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 IaC | iam_policy_review, cloudformation_review, terraform_plan_review, kubernetes_manifest_review | Plano Terraform/OpenTofu em JSON, CloudFormation, manifestos Kubernetes, políticas IAM |
| AWS Knowledge ao vivo | aws_knowledge_search, aws_knowledge_read, aws_regions, aws_regional_availability, aws_skill | Documentação oficial atual, regiões e disponibilidade, pelo MCP oficial da AWS |
| Integrações oficiais e GitHub | integration_catalog, integration_config, github_public_repository | Catálogo 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.
c4_modelEntrada: 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
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." } ] }
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