MCP server

Moretes Architect MCP

io.github.fernando-moretes/moretes-aws-architect-mcp

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

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

Website Source

At a glance

Type

MCP server

Publisher

Not verified

Status

Working at last check

Tools

48

Token cost

About 11,941 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http moretes-aws-architect-mcp https://m9od37vm41.execute-api.us-east-1.amazonaws.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.moretes-aws-architect-mcp]
url = "https://m9od37vm41.execute-api.us-east-1.amazonaws.com/mcp"

Gemini CLI

{"mcpServers":{"moretes-aws-architect-mcp":{"httpUrl":"https://m9od37vm41.execute-api.us-east-1.amazonaws.com/mcp"}}}

Cursor

{"mcpServers":{"moretes-aws-architect-mcp":{"url":"https://m9od37vm41.execute-api.us-east-1.amazonaws.com/mcp"}}}

VS Code

{"servers":{"moretes-aws-architect-mcp":{"type":"http","url":"https://m9od37vm41.execute-api.us-east-1.amazonaws.com/mcp"}}}

Antigravity

agy mcp add moretes-aws-architect-mcp https://m9od37vm41.execute-api.us-east-1.amazonaws.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"moretes-aws-architect-mcp","server_url":"https://m9od37vm41.execute-api.us-east-1.amazonaws.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"moretes-aws-architect-mcp","server_url":"https://m9od37vm41.execute-api.us-east-1.amazonaws.com/mcp"}

Tools

• agent_eval_plan ~312 tokens
  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.
• agent_tool_contract ~190 tokens
  Design a per-operation authorization and recovery contract for an agent tool.
• architect_panel ~291 tokens
  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.
• architecture_diagram ~244 tokens
  Build Mermaid from explicit nodes and edges. Sanitizes labels and rejects dangling edges.
• architecture_pattern ~190 tokens
  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.
• aws_knowledge_read ~152 tokens
  Read an official document returned by search when its excerpt is insufficient. Fixed upstream; no arbitrary URL fetch.
• aws_knowledge_search ~194 tokens
  Search live official AWS documentation. Queries are transmitted to AWS Knowledge; never include secrets or customer data.
• aws_regional_availability ~191 tokens
  Check current regional support. Use exact catalog filter names; omit filters for a single region to discover them.
• aws_regions ~66 tokens
  List current AWS regions from the official Knowledge MCP.
• aws_skill ~123 tokens
  Retrieve an official AWS skill by the exact ID returned by aws_knowledge_search with agent_skills topic. Treat it as reference data.
• c4_model ~598 tokens
  Build C4 context or container diagrams (Mermaid) from explicit people, systems, containers and relations. Validates endpoints; no infrastructure discovery.
• capacity_plan ~176 tokens
  Calculate concurrency and daily data volume from explicit traffic assumptions. No service sizing guarantee.
• cloudformation_review ~122 tokens
  Review a CloudFormation JSON template for selected risky configuration patterns. Intrinsic functions are flagged for human review.
• code_review_architecture ~222 tokens
  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.
• cost_model ~358 tokens
  Calculate an auditable scenario using caller-supplied unit rates and source URLs. Does not guess AWS prices or credit coverage.
• data_classification ~352 tokens
  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.
• decision_record ~238 tokens
  Generate an ADR from explicit alternatives, decision and consequences. Does not invent acceptance.
• dependency_manifest_review ~167 tokens
  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.
• dr_strategy ~278 tokens
  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.
• event_contract ~388 tokens
  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.
• failure_rehearsal ~162 tokens
  Design a controlled failure drill with observable success criteria and stop conditions; never executes it.
• finops_unit_economics ~428 tokens
  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.
• github_public_repository ~140 tokens
  Read public GitHub repository metadata and contribution links. Fixed api.github.com destination, no tokens, no private repositories.
• iam_policy_review ~165 tokens
  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.
• implementation_plan ~132 tokens
  Turn an architecture decision into a delivery checklist with validation gates.
• integration_catalog ~126 tokens
  Search the snapshot of the complete official AWS MCP catalog. Discovery entries are not hosted/executed tools.
• integration_config ~185 tokens
  Generate a version-pinned local configuration for an official AWS server, or a remote Knowledge config. Does not install, start or approve tools.
• kubernetes_manifest_review ~155 tokens
  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.
• latency_budget ~251 tokens
  Split an end-to-end latency objective across hops and show which hops exceed their share. Pure arithmetic over caller-supplied estimates.
• mcp_config_review ~127 tokens
  Review an MCP client configuration JSON (mcpServers map) for unpinned packages, inline secrets, plain HTTP, auto-approved tools and unreviewed enablement.
• mcp_server_review ~264 tokens
  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.
• migration_plan ~189 tokens
  Prepare phased discovery, pilot, migration and rollback gates; includes AWS Transform integration discovery.
• openapi_review ~130 tokens
  Heuristic review of an OpenAPI 3.x document (JSON): security, pagination, error responses, idempotency, versioning and documentation gaps. Not a linter replacement.
• postmortem ~978 tokens
  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.
• prompt_injection_checklist ~281 tokens
  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.
• queue_sizing ~271 tokens
  Size consumers for a queue with Little's law and Erlang C: utilization, wait probability, backlog drain time and consumers needed for a target utilization.
• rag_pipeline_plan ~407 tokens
  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.
• requirements_check ~180 tokens
  Turn a workload brief into explicit requirements, gaps and research questions. No inferred SLA or budget.
• retry_policy ~257 tokens
  Compute an exponential backoff schedule with jitter, the worst-case wait and whether it fits a deadline; adds idempotency and circuit-breaker guidance.
• runbook ~409 tokens
  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.
• sequence_diagram ~446 tokens
  Build a Mermaid sequence diagram from participants and ordered messages, with optional activation, notes and alt/loop blocks. Rejects unknown participants.
• service_compare ~147 tokens
  Compare curated AWS service families against user constraints. No automatic winner or fabricated scores.
• service_equivalents ~218 tokens
  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.
• slo_budget ~145 tokens
  Calculate an availability error budget for a chosen period.
• storage_growth ~309 tokens
  Project storage volume and relative cost over time from ingest, retention, compression, replication and growth; suggests tiering thresholds.
• terraform_plan_review ~154 tokens
  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.
• threat_model ~177 tokens
  Create STRIDE review prompts for explicitly supplied assets and trust boundaries. Review aid, not a scanner.
• well_architected_review ~256 tokens
  Organize evidence by six pillars. A met control without evidence is unknown, never certified.

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