bots.st/moretes-architect-mcp

Moretes Architect MCP

Evaluate agent plans and generate architecture evidence

1941 ms

answered our call 8 Nov, 02:59 UTC

State: Answered
Protocol: MCP 2025-06-18
Tools listed: 48
Answered: 3 of the last 3 calls

How to reach it

MCP, HTTPhttps://mcp.moretes.com/mcp
npmnpx -y moretes-aws-architect-mcpReleased 7 Nov 2026, version 0.5.0

What it can do

Tool	What it says it does
`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.
`agent_tool_contract`	Design a per-operation authorization and recovery contract for an agent tool.
`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.
`architecture_diagram`	Build Mermaid from explicit nodes and edges. Sanitizes labels and rejects dangling edges.
`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.
`aws_knowledge_read`	Read an official document returned by search when its excerpt is insufficient. Fixed upstream; no arbitrary URL fetch.
`aws_knowledge_search`	Search live official AWS documentation. Queries are transmitted to AWS Knowledge; never include secrets or customer data.
`aws_regional_availability`	Check current regional support. Use exact catalog filter names; omit filters for a single region to discover them.
`aws_regions`	List current AWS regions from the official Knowledge MCP.
`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.
`c4_model`	Build C4 context or container diagrams (Mermaid) from explicit people, systems, containers and relations. Validates endpoints; no infrastructure discovery.
`capacity_plan`	Calculate partial capacity scenarios without inventing missing duration or payload. Label caller-reported provenance; no service sizing guarantee.
`cloudformation_review`	Review a CloudFormation JSON template for selected risky configuration patterns. Intrinsic functions are flagged for human review.
`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.
`cost_model`	Calculate an auditable scenario using caller-supplied unit rates and source URLs. Does not guess AWS prices or credit coverage.
`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.
`decision_record`	Generate an ADR from explicit alternatives, decision and consequences. Does not invent acceptance.
`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.
`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.
`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.
`failure_rehearsal`	Design a controlled failure drill with observable success criteria and stop conditions; never executes it.
`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.
`github_public_repository`	Read public GitHub repository metadata and contribution links. Fixed api.github.com destination, no tokens, no private repositories.
`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.
`implementation_plan`	Turn an architecture decision into a delivery checklist with validation gates.
`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.
`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.
`latency_budget`	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`	Review an MCP client configuration JSON (mcpServers map) for unpinned packages, inline secrets, plain HTTP, auto-approved tools and unreviewed enablement.
`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.
`migration_plan`	Prepare phased discovery, pilot, migration and rollback gates; includes AWS Transform integration discovery.
`openapi_review`	Heuristic review of an OpenAPI 3.x document (JSON): security, pagination, error responses, idempotency, versioning and documentation gaps. Not a linter replacement.
`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.
`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.
`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).
`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.
`requirements_check`	Turn a workload brief into explicit requirements, gaps and research questions. No inferred SLA or budget.
`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.
`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.
`sequence_diagram`	Build a Mermaid sequence diagram from participants and ordered messages, with optional activation, notes and alt/loop blocks. Rejects unknown participants.
`service_compare`	Compare curated AWS service families against user constraints. No automatic winner or fabricated scores.
`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.
`slo_budget`	Calculate an availability error budget for a chosen period.
`storage_growth`	Project storage volume and relative cost over time from ingest, retention, compression, replication and growth; suggests tiering thresholds.
`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.
`threat_model`	Create STRIDE review prompts for explicitly supplied assets and trust boundaries. Review aid, not a scanner.
`well_architected_review`	Organize evidence by six pillars. A met control without evidence is unknown, never certified.

In its maker's words

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

Website: fernando.moretes.com/mcp
Source: github.com/fernando-moretes/moretes-aws-architect-mcp
Publisher: fernando-moretes
Listed from: the official MCP Registry as io.github.fernando-moretes/moretes-aws-architect-mcp
Version: 0.5.0, updated 7 Nov 2026
Kinds of work: Law, tax and government, Data and databases, Cloud and DevOps

The domain it lives on

moretes.com: registered 17 Apr 2024 (2 years ago), at Cloudflare, Inc., its home page is a working site

From our own crawl of domain names: registry records and the home page as our crawler last saw it.

Every call we made

When	What happened	Time
8 Nov, 02:59 UTC	Answered	1941 ms
7 Nov, 23:42 UTC	Answered	2042 ms
7 Nov, 22:05 UTC	Answered	2401 ms

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