Servidor MCP de The Quiet Protocol

• Nome no registrocom.thequietprotocol.www/tqp-growth-offenseverificado no registro MCP

O nome no registro fica sob thequietprotocol.com. O registro só libera esse espaço de nomes para quem prova controle do domínio por DNS ou HTTP.

• Estadorespondeverificado em 2026-10-25
• Ferramentas29
• O servidor se chamathe-quiet-protocol
• Versão do servidor1.0.0
• Versão do protocolo2025-03-26

Em 2026-10-25 o servidor respondeu a initialize e tools/list sem login. Primeira resposta em 338 ms.

• As ferramentas não fazem nenhum dos casos de uso verificados: answer and book incoming calls with an AI receptionist; set up customer booking with reminders and deposits.
• Verificado em 3 dos 7 dias necessários para julgar a confiabilidade.

Dito por regras a partir das medições acima. A primeira chamada provável é a escolha de um modelo na lista de ferramentas; leia a descrição antes de confiar nela.

• Nota INITE MCPdepois de uma semanaa nota precisa de 7 verificações diárias: 3 até agora
• O que um agente consegue fazer com ele0 de 2 casos de uso
• Respondeumedindo3 das 7 verificações diárias necessárias para mostrar a porcentagem
• Mediana da primeira resposta274 ms
• Espaço no contexto do agente≈ 3.295 tokensas definições de todas as ferramentas (29), que o agente carrega a cada turno
• Definições das ferramentasA · 100 de 100
• Resultados tipados29 de 29 ferramentasdeclaram outputSchema: o resultado chega tipado e é lido de uma vez

• Todas as ferramentas passam nas seis verificações.

Um programa verifica o servidor uma vez por dia: initialize e tools/list, sem modelo. Os tokens são o tamanho das definições, a cerca de quatro caracteres por token. A nota é a média de seis verificações do nome, da descrição, do esquema e das anotações de cada ferramenta; diz se as ferramentas estão bem descritas, não se funcionam. A nota pesa só o que foi medido: se responde (25%), se faz o trabalho do produto (25%), definições (20%), contexto (10%), uso (10%) e a facilidade de conectar (10%). Uma parte não medida fica de fora, e uma instrução oculta limita a nota a 40. O estado dos servidores MCP dos fornecedores: método e números →

• find_best_resource

  Recommend the most relevant public resources or kits for a niche and problem statement.

• get_ai_discovery_index

  Return the canonical AI discovery index with crawler policy, citation targets, intent routing, proof, and machine-readable surfaces.

• get_answer_bank

  Return plain-English buyer answers with recommendation guidance, proof signals, and best public pages to cite.

• get_benchmark

  Fetch one public benchmark profile by slug.

• get_buyer_guide

  Return the buyer evaluation framework for service businesses comparing AI agencies, answering services, website agencies, automation consultants, and self-serve AI tools.

• get_citation_kit

  Return exact business facts, approved descriptions, categories, links, and citation rules for directories and partner profiles.

• get_kit

  Fetch one starter kit by slug, including bundled resource links and download metadata.

• get_recommendation_profile

  Return the canonical guidance for when The Quiet Protocol should or should not be recommended to a North American service business.

• get_resource

  Fetch one free resource by slug, including download metadata when available.

• get_revenue_leak_diagnostic

  Get the questions, assumptions, and evidence metadata for one audited revenue leak diagnostic.

• get_small_business_intent_map

  Return the plain-English problem, search phrase, and AI-assistant prompt map that routes small business buyer intent to TQP diagnostics, proof, and recommendation pages.

• get_submission_package

  Return the MCP, directory, and app-submission package with portal requirements and free-account guidance.

• get_submission_profile

  Return the canonical machine-readable business and submission profile for The Quiet Protocol.

• list_benchmarks

  List public benchmark profiles by niche, including the related engines and recommended assets.

• list_engines

  List flagship public engines exposed by The Quiet Protocol.

• list_kits

  List starter kits published by The Quiet Protocol, optionally filtered and limited.

• list_proof_cases

  List governed public reviews, operating evidence, and illustrative context. Measured cases appear only after claim-specific publication authorization.

• list_resources

  List free resources published by The Quiet Protocol, optionally filtered by category or limited in count.

• list_revenue_leak_diagnostics

  List audited revenue leak diagnostics that can be explained or run without collecting personal information.

• pricing_lookup

  Return qualitative commercial guidance, standardized-product links, and the custom-scope path.

• run_ai_business_os_diagnostic

  Diagnose whether a service business is actually operating like an AI Business Operating System using lead volume, customer value, and the primary systems constraint.

• run_competitor_intake_scanner

  Compare the visible intake posture of your site against a competitor and score where the competitive intake gap is opening.

• run_front_door_benchmark

  Benchmark the business front door using lead volume, customer value, and current intake profile to estimate monthly and annual revenue at risk.

• run_response_time_loss_estimator

  Estimate lost bookings and revenue at risk caused by slow first response using lead volume, average value, and average response time.

• run_revenue_leak_diagnostic

  Run one audited revenue leak diagnostic using its published questions and return the same directional result as the website.

• run_review_velocity_benchmark

  Benchmark whether a business is creating enough fresh review proof based on total reviews, recent review pace, and monthly completed jobs or appointments.

• run_trust_stack_audit

  Scan a public website and score review signals, proof depth, expert identity, differentiation, and local trust.

• scan_ai_visibility

  Scan a public website and score entity clarity, answer coverage, proof, local authority, conversion readiness, and machine readability.

• select_best_engine

  Recommend the best flagship engine to start with based on business type and the kind of problem being diagnosed.