com.airolloutframework/ai-rollout-framework

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Au dernier audit MCP Hub, le serveur MCP « com.airolloutframework/ai-rollout-framework » 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 9 outils

• assess_ai_readiness≈ 1243 tokens

  Runs the 16-question AI Readiness Score on the user's behalf (rate each statement 1-5, where 1 = Strongly Disagree and 5 = Strongly Agree) and returns their readiness stage, a recommended next step, and a link to the free full assessment on the site, which includes a personalized PDF. It returns no numeric score or breakdown. Ask the user the questions; do not guess answers.

  Paramètres, retour & exemple (16)

  Paramètres

  • q1 · integer · requis
    Leadership has discussed how AI may affect workflows, productivity, or service quality in our environment. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q2 · integer · requis
    There is at least a basic understanding of why AI would be used here beyond general curiosity. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q3 · integer · requis
    Someone is clearly responsible for evaluating AI opportunities or next steps. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q4 · integer · requis
    AI discussion here is tied to outcomes, workflows, or risks rather than hype. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q5 · integer · requis
    People generally understand what data should never be entered into public AI tools. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q6 · integer · requis
    AI use is discussed with at least some awareness of policy, compliance, or reputational risk. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q7 · integer · requis
    Important AI outputs would be reviewed before they are acted on or shared broadly. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q8 · integer · requis
    There is at least a basic sense of what "safe experimentation" with AI looks like here. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q9 · integer · requis
    We can identify at least one low-risk workflow where AI could improve speed, quality, or consistency. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q10 · integer · requis
    People here could describe at least one current task that AI could meaningfully assist without major risk. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q11 · integer · requis
    There is at least some awareness of how AI tool outputs should be reviewed before they affect real work. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q12 · integer · requis
    If we piloted AI in one area today, we could define what success looks like in practical terms. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q13 · integer · requis
    Most people here could use a basic AI tool with at least some practical confidence. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q14 · integer · requis
    There is some shared understanding of what AI is - and is not - good at in a workplace context. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q15 · integer · requis
    People here feel comfortable asking questions about AI without fear of looking uninformed. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)
  • q16 · integer · requis
    If a structured AI skill development path existed for our team, there would be genuine interest in using it. (Rate 1-5: 1 = Strongly Disagree, 2 = Disagree, 3 = Neutral, 4 = Agree, 5 = Strongly Agree.)

  Exemple d'appel

  {"name": "assess_ai_readiness", "arguments": {"q1": 1, "q2": 1, "q3": 1, "q4": 1, "q5": 1, "q6": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• email_me_the_kit≈ 237 tokens

  Emails the free Briefing Kit to an address the user gives you. Call only when the user has explicitly asked to receive it by email and agreed to be emailed. Never call it on your own and never invent or guess an address. It adds the address to a mailing list and sends the kit by email.

  Paramètres, retour & exemple (2)

  Paramètres

  • email · string · requis
    The email address the user asked to receive the kit at.
  • consent · boolean · requis
    Must be true. Set it only if the user has explicitly asked to receive the kit by email and agreed to be emailed at this address. The user can unsubscribe from the first email.

  Exemple d'appel

  {"name": "email_me_the_kit", "arguments": {"email": "texte", "consent": true}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_ai_at_work_course≈ 145 tokens

  Returns the public outline of AI at Work, the employee AI training course: modules, what is included, seat tiers and the guarantee. Use it for questions about employee training. It does not return transcripts or quiz content. To check readiness, use assess_ai_readiness.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_ai_at_work_course", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_faq≈ 231 tokens

  Returns published questions and answers, optionally filtered by topic. Use it for specific questions about pricing, governance, implementation or the products. It does not search the long-form guides; use search_knowledge_base for that. To check readiness, use assess_ai_readiness.

  Paramètres, retour & exemple (1)

  Paramètres

  • topic · string · optionnel
    Optional filter. Use a category for reliable results: "assessment", "implementation", "governance", "measurement", "concepts", "pricing", or "products". Any other value falls back to a free-text search over the questions and answers (e.g. "shadow AI", "refund"), which may return nothing. Omit to get all items.

  Exemple d'appel

  {"name": "get_faq", "arguments": {"topic": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_framework_overview≈ 146 tokens

  Returns the AI Capability Rollout Framework's three phases, four capability pillars, positioning, the recommended offer and the Discord community. Use it to explain what the framework is. It does not return prices or the FAQ. To check readiness, use assess_ai_readiness.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_framework_overview", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_pricing≈ 156 tokens

  Returns current one-time prices and checkout links for the Framework + Executive Suite, the Framework alone, and AI at Work seats, including the seat tiers, co-branding and the Rollout Pack. Use it for the full price list, or get_seat_quote for a specific number of seats. It does not take payment. To check readiness, use assess_ai_readiness.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_pricing", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_seat_quote≈ 216 tokens

  Calculates the AI at Work cost for a given number of seats (1-500), with optional co-branding. It flags when a higher tier is cheaper in total and shows the Executive Suite and Rollout Pack alternatives. It does not take an order. To check readiness, use assess_ai_readiness.

  Paramètres, retour & exemple (2)

  Paramètres

  • seats · integer · requis
    Number of seats to quote, as a whole number.
  • coBranding · boolean · optionnel
    Optional. True to include the company co-branding fee (free at higher seat counts). Defaults to false.

  Exemple d'appel

  {"name": "get_seat_quote", "arguments": {"seats": 1}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• get_starter_kit≈ 147 tokens

  Describes the free AI Capability Briefing Kit, a 10-page internal briefing document, and how to get it. Use it when the user wants a free starting resource. It does not deliver the file; use email_me_the_kit when the user asks for it by email. To check readiness, use assess_ai_readiness.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_starter_kit", "arguments": {}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

• search_knowledge_base≈ 178 tokens

  Searches the framework's methodology, definitions, positioning and changelog for a phrase and returns matching sections with links to the source documents. Use it for a concept the other tools do not cover. It returns excerpts, not full documents. To check readiness, use assess_ai_readiness.

  Paramètres, retour & exemple (1)

  Paramètres

  • query · string · requis
    Keyword or phrase to search for.

  Exemple d'appel

  {"name": "search_knowledge_base", "arguments": {"query": "texte"}}

  Exemple de retour

  {"content": [{"type": "text", "text": "…"}]}

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Source

https://airolloutframework.com/mcp