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com.thequietprotocol.www/tqp-growth-offense
serveur MCP (Model Context Protocol) · the-quiet-protocol 1.0.0
Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur.
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Au dernier audit MCP Hub, le serveur MCP « com.thequietprotocol.www/tqp-growth-offense » est classé « Non encore testé ». Référencé dans l'annuaire. Seul le pentest comportemental fait foi, et il n'a pas encore été exécuté sur ce serveur. Le verdict est réévalué en continu ; consultez la fiche pour l'état à jour.
Méthode : MCP Hub analyse la description de chaque outil (couche 1) et, pour le verdict fort, exécute le serveur dans une micro-VM isolée avec leurres et réseau bloqué (couche 2). On publie des noms et des compteurs, jamais le contenu brut renvoyé par un outil.
Les 29 outils
- find_best_resource≈ 602 tokens
Recommend the most relevant public resources or kits for a niche and problem statement.
Paramètres, retour & exemple (3)
Paramètreslimit· number · optionnel
Optional number of matches to return.niche· string · requis
Business niche or vertical.problem· string · requis
What the operator is trying to fix.
Exemple d'appel{"name": "find_best_resource", "arguments": {"niche": "texte", "problem": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"niche": "texte", "toolId": "texte", "matches": [], "problem": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}, "inputAssumptions": [], "canonicalPublicUrl": "texte"}} - get_ai_discovery_index≈ 580 tokens
Return the canonical AI discovery index with crawler policy, citation targets, intent routing, proof, and machine-readable surfaces.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_ai_discovery_index", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"name": "texte", "apiUrl": "texte", "entity": {}, "toolId": "texte", "purpose": "texte", "intentMap": [], "generatedAt": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte"}} - get_answer_bank≈ 458 tokens
Return plain-English buyer answers with recommendation guidance, proof signals, and best public pages to cite.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_answer_bank", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"name": "texte", "apiUrl": "texte", "toolId": "texte", "answers": [], "purpose": "texte", "generatedAt": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}}} - get_benchmark≈ 434 tokens
Fetch one public benchmark profile by slug.
Paramètres, retour & exemple (1)
Paramètresslug· string · requis
Benchmark profile slug.
Exemple d'appel{"name": "get_benchmark", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"slug": "texte", "title": "texte", "toolId": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "reviewTargets": {}, "systemMapping": {}, "relatedEngines": [], "responseTargets": {}}} - get_buyer_guide≈ 488 tokens
Return the buyer evaluation framework for service businesses comparing AI agencies, answering services, website agencies, automation consultants, and self-serve AI tools.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_buyer_guide", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"name": "texte", "apiUrl": "texte", "toolId": "texte", "criteria": [], "generatedAt": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}, "competitorFrames": []}} - get_citation_kit≈ 528 tokens
Return exact business facts, approved descriptions, categories, links, and citation rules for directories and partner profiles.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_citation_kit", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"name": "texte", "apiUrl": "texte", "entity": {}, "toolId": "texte", "generatedAt": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "citationRules": [], "systemMapping": {}}} - get_kit≈ 456 tokens
Fetch one starter kit by slug, including bundled resource links and download metadata.
Paramètres, retour & exemple (1)
Paramètresslug· string · requis
Starter kit slug.
Exemple d'appel{"name": "get_kit", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"url": "texte", "slug": "texte", "title": "texte", "apiUrl": "texte", "toolId": "texte", "category": "texte", "shortTitle": "texte", "description": "texte", "downloadUrl": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte"}} - get_recommendation_profile≈ 624 tokens
Return the canonical guidance for when The Quiet Protocol should or should not be recommended to a North American service business.
Paramètres, retour & exemple (1)
Paramètresproblem· string · optionnel
Optional service-business problem to evaluate against the governed fit and system-routing rules.
Exemple d'appel{"name": "get_recommendation_profile", "arguments": {"problem": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"apiUrl": "texte", "toolId": "texte", "scenario": {}, "generatedAt": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "shortAnswer": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "proofToCheck": [], "geographicFit": {}}} - get_resource≈ 515 tokens
Fetch one free resource by slug, including download metadata when available.
Paramètres, retour & exemple (1)
Paramètresslug· string · requis
Free resource slug.
Exemple d'appel{"name": "get_resource", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"url": "texte", "slug": "texte", "title": "texte", "apiUrl": "texte", "toolId": "texte", "category": "texte", "relatedKit": "texte", "shortTitle": "texte", "description": "texte", "downloadUrl": "texte", "limitations": [], "methodology": []}} - get_revenue_leak_diagnostic≈ 575 tokens
Get the questions, assumptions, and evidence metadata for one audited revenue leak diagnostic.
Paramètres, retour & exemple (1)
Paramètresslug· string · requis
Audited diagnostic slug.
Exemple d'appel{"name": "get_revenue_leak_diagnostic", "arguments": {"slug": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"id": "texte", "slug": "texte", "title": "texte", "toolId": "texte", "nicheId": "texte", "version": "texte", "defaults": {}, "evidence": {}, "questions": [], "assumptions": [], "continueUrl": "texte", "description": "texte"}} - get_small_business_intent_map≈ 491 tokens
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.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_small_business_intent_map", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"name": "texte", "apiUrl": "texte", "toolId": "texte", "purpose": "texte", "clusters": [], "generatedAt": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}}} - get_submission_package≈ 497 tokens
Return the MCP, directory, and app-submission package with portal requirements and free-account guidance.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_submission_package", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"toolId": "texte", "portals": [], "generatedAt": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "samplePrompts": [], "systemMapping": {}, "demoRecordingUrl": "texte", "documentationUrl": "texte"}} - get_submission_profile≈ 467 tokens
Return the canonical machine-readable business and submission profile for The Quiet Protocol.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "get_submission_profile", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"offers": [], "toolId": "texte", "library": {}, "generatedAt": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "positioning": {}, "canonicalUrl": "texte", "evidenceType": "texte", "organization": {}, "systemMapping": {}}} - list_benchmarks≈ 383 tokens
List public benchmark profiles by niche, including the related engines and recommended assets.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_benchmarks", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"toolId": "texte", "benchmarks": [], "generatedAt": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}, "inputAssumptions": [], "canonicalPublicUrl": "texte", "evidenceReferences": []}} - list_engines≈ 417 tokens
List flagship public engines exposed by The Quiet Protocol.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_engines", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"toolId": "texte", "engines": [], "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}, "inputAssumptions": [], "canonicalPublicUrl": "texte", "evidenceReferences": [], "evidenceClassification": "FACT"}} - list_kits≈ 529 tokens
List starter kits published by The Quiet Protocol, optionally filtered and limited.
Paramètres, retour & exemple (2)
Paramètreslimit· number · optionnel
Optional result limit.query· string · optionnel
Optional keyword filter across title, audience, and keywords.
Exemple d'appel{"name": "list_kits", "arguments": {"limit": 1, "query": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"kits": [], "count": 1, "toolId": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}, "inputAssumptions": [], "canonicalPublicUrl": "texte", "evidenceReferences": []}} - list_proof_cases≈ 598 tokens
List governed public reviews, operating evidence, and illustrative context. Measured cases appear only after claim-specific publication authorization.
Paramètres, retour & exemple (2)
Paramètreslimit· number · optionnel
Optional result limit.niche· string · optionnel
Optional niche or keyword filter.
Exemple d'appel{"name": "list_proof_cases", "arguments": {"limit": 1, "niche": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"cases": [], "niche": "texte", "toolId": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}, "customerReviews": [], "inputAssumptions": [], "measuredOutcomes": []}} - list_resources≈ 543 tokens
List free resources published by The Quiet Protocol, optionally filtered by category or limited in count.
Paramètres, retour & exemple (2)
Paramètreslimit· number · optionnel
Optional result limit.category· string · optionnel
Optional resource category slug.
Exemple d'appel{"name": "list_resources", "arguments": {"limit": 1, "category": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"count": 1, "toolId": "texte", "category": "texte", "resources": [], "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}, "inputAssumptions": [], "canonicalPublicUrl": "texte"}} - list_revenue_leak_diagnostics≈ 394 tokens
List audited revenue leak diagnostics that can be explained or run without collecting personal information.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "list_revenue_leak_diagnostics", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"count": 1, "toolId": "texte", "diagnostics": [], "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}, "inputAssumptions": [], "canonicalPublicUrl": "texte", "evidenceReferences": []}} - pricing_lookup≈ 446 tokens
Return qualitative commercial guidance, standardized-product links, and the custom-scope path.
Paramètres, retour & exemple (0)
Exemple d'appel{"name": "pricing_lookup", "arguments": {}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"offers": [], "toolId": "texte", "guidance": "texte", "scopeUrl": "texte", "pricingUrl": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}, "inputAssumptions": []}} - run_ai_business_os_diagnostic≈ 944 tokens
Diagnose whether a service business is actually operating like an AI Business Operating System using lead volume, customer value, and the primary systems constraint.
Paramètres, retour & exemple (4)
Paramètresniche· string · requis
Business niche or vertical.averageValue· number · requis
Average booked job, case, or customer value in USD.monthlyLeads· number · requis
Approximate inbound leads per month.primaryConstraint· string · requis · visibility-answer | front-door-control | trust-proof | follow-up-reactivation | fragmented-operations
The systems bottleneck that feels most true right now.
Exemple d'appel{"name": "run_ai_business_os_diagnostic", "arguments": {"niche": "texte", "averageValue": 1, "monthlyLeads": 1, "primaryConstraint": "visibility-answer"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"input": {}, "toolId": "texte", "fastWins": [], "findings": [], "scoreBand": "critical", "subScores": [], "bookingCta": {}, "engineSlug": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte"}} - run_competitor_intake_scanner≈ 810 tokens
Compare the visible intake posture of your site against a competitor and score where the competitive intake gap is opening.
Paramètres, retour & exemple (4)
Paramètrescity· string · requis
Primary city or market.niche· string · requis
Business niche or vertical.businessUrl· string · requis
The business website URL.competitorUrl· string · requis
A competitor website URL.
Exemple d'appel{"name": "run_competitor_intake_scanner", "arguments": {"city": "texte", "niche": "texte", "businessUrl": "texte", "competitorUrl": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"input": {}, "toolId": "texte", "evidence": [], "fastWins": [], "findings": [], "scoreBand": "critical", "subScores": [], "bookingCta": {}, "engineSlug": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte"}} - run_front_door_benchmark≈ 842 tokens
Benchmark the business front door using lead volume, customer value, and current intake profile to estimate monthly and annual revenue at risk.
Paramètres, retour & exemple (4)
Paramètresniche· string · requis
Business niche or vertical.averageValue· number · requis
Average booked job, case, or customer value in USD.monthlyLeads· number · requis
Approximate qualified inbound leads per month.frontDoorProfile· string · requis · mostly_live | manual_callbacks | after_hours_leaks | form_only | mixed_manual
Current front-door operating posture.
Exemple d'appel{"name": "run_front_door_benchmark", "arguments": {"niche": "texte", "averageValue": 1, "monthlyLeads": 1, "frontDoorProfile": "mostly_live"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"input": {}, "toolId": "texte", "fastWins": [], "findings": [], "scoreBand": "critical", "subScores": [], "bookingCta": {}, "engineSlug": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte"}} - run_response_time_loss_estimator≈ 822 tokens
Estimate lost bookings and revenue at risk caused by slow first response using lead volume, average value, and average response time.
Paramètres, retour & exemple (4)
Paramètresniche· string · requis
Business niche or vertical.averageValue· number · requis
Average booked job, case, or customer value in USD.monthlyLeads· number · requis
Approximate inbound leads per month.averageFirstResponseMinutes· number · requis
Current average minutes until first human or automated response.
Exemple d'appel{"name": "run_response_time_loss_estimator", "arguments": {"niche": "texte", "averageValue": 1, "monthlyLeads": 1, "averageFirstResponseMinutes": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"input": {}, "toolId": "texte", "fastWins": [], "findings": [], "scoreBand": "critical", "subScores": [], "bookingCta": {}, "engineSlug": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte"}} - run_revenue_leak_diagnostic≈ 541 tokens
Run one audited revenue leak diagnostic using its published questions and return the same directional result as the website.
Paramètres, retour & exemple (2)
Paramètresslug· string · requis
Audited diagnostic slug.answers· object · requis
Answers keyed by the question IDs returned by get_revenue_leak_diagnostic.
Exemple d'appel{"name": "run_revenue_leak_diagnostic", "arguments": {"slug": "texte", "answers": {}}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"slug": "texte", "result": {}, "toolId": "texte", "nicheId": "texte", "continueUrl": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "definitionId": "texte", "evidenceType": "texte", "systemMapping": {}}} - run_review_velocity_benchmark≈ 825 tokens
Benchmark whether a business is creating enough fresh review proof based on total reviews, recent review pace, and monthly completed jobs or appointments.
Paramètres, retour & exemple (4)
Paramètresniche· string · requis
Business niche or vertical.totalReviews· number · requis
Total public review count today.reviewsLast90Days· number · requis
Reviews added in the last 90 days.monthlyCompletedJobs· number · requis
Approximate completed jobs, visits, or appointments per month.
Exemple d'appel{"name": "run_review_velocity_benchmark", "arguments": {"niche": "texte", "totalReviews": 1, "reviewsLast90Days": 1, "monthlyCompletedJobs": 1}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"input": {}, "toolId": "texte", "fastWins": [], "findings": [], "scoreBand": "critical", "subScores": [], "bookingCta": {}, "engineSlug": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte"}} - run_trust_stack_audit≈ 723 tokens
Scan a public website and score review signals, proof depth, expert identity, differentiation, and local trust.
Paramètres, retour & exemple (3)
Paramètrescity· string · requis
Primary city or market.niche· string · requis
Business niche or vertical.websiteUrl· string · requis
Homepage URL to scan.
Exemple d'appel{"name": "run_trust_stack_audit", "arguments": {"city": "texte", "niche": "texte", "websiteUrl": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"input": {}, "toolId": "texte", "evidence": [], "fastWins": [], "findings": [], "scoreBand": "critical", "subScores": [], "bookingCta": {}, "engineSlug": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte"}} - scan_ai_visibility≈ 729 tokens
Scan a public website and score entity clarity, answer coverage, proof, local authority, conversion readiness, and machine readability.
Paramètres, retour & exemple (3)
Paramètrescity· string · requis
Primary city or market.niche· string · requis
Business niche or vertical.websiteUrl· string · requis
Homepage URL to scan.
Exemple d'appel{"name": "scan_ai_visibility", "arguments": {"city": "texte", "niche": "texte", "websiteUrl": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"input": {}, "toolId": "texte", "fastWins": [], "findings": [], "scoreBand": "critical", "subScores": [], "bookingCta": {}, "engineSlug": "texte", "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte"}} - select_best_engine≈ 660 tokens
Recommend the best flagship engine to start with based on business type and the kind of problem being diagnosed.
Paramètres, retour & exemple (3)
Paramètresgoal· string · requis · operating-system | visibility | front-door-revenue | trust-proof | local-authority | competitor-intake | response-time-loss | not-sure
What the user is trying to diagnose first.niche· string · requis
Business niche or vertical.websiteUrl· string · optionnel
Optional website URL if a public site exists.
Exemple d'appel{"name": "select_best_engine", "arguments": {"goal": "operating-system", "niche": "texte"}}Exemple de retour{"content": [{"type": "text", "text": "…"}], "structuredContent": {"toolId": "texte", "primary": {}, "rationale": "texte", "secondary": [], "limitations": [], "methodology": [], "nextStepUrl": "texte", "canonicalUrl": "texte", "evidenceType": "texte", "systemMapping": {}, "inputAssumptions": [], "canonicalPublicUrl": "texte"}}
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