com.nielslangereis/thinking

Est-ce que com.nielslangereis/thinking est sûr ?

Au dernier audit MCP Hub, le serveur MCP « com.nielslangereis/thinking » 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 6 outils

• about_niels≈ 183 tokens

  Who Niels Langereis is and how to work with him: what he does and for whom, how he works, his background, his talks and speaking, and how to get in touch. Use when someone asks whether he could help them, wants to hire or book him, or wants his background. Contact is by email or the site's contact form; this server does not send messages.

  Paramètres, retour & exemple (1)

  Paramètres

  • topic · string · optionnel · overview | services | background | speaking | contact
    What to return. Default overview.

  Exemple d'appel

  {"name": "about_niels", "arguments": {"topic": "overview"}}

  Exemple de retour

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

• get_enterprise_ai_map≈ 382 tokens

  Niels Langereis's enterprise AI map: 24 illustrative AI agents across ten business functions (strategy, product, design, marketing, sales, customer success, operations, people, finance, data and IT), each with its rollout phase, what it optimises for and the trade-off it creates for other functions; plus the coordination layer, the bench and the external renderers that decide whether faster work becomes a better organisation. Use it to reason about someone's own AI rollout. detail='summary' returns only the skeleton (functions, agents, phases and trade-offs, plus one line per remaining part), which is enough for most reasoning; detail='full' (default) adds the complete prose on coordination, the bench and the renderers. Optionally filter by function or phase. Shows an interactive map where the client supports it.

  Paramètres, retour & exemple (3)

  Paramètres

  • phase · string · optionnel · p1 | p2 | p3
    Optional: p1 co-pilots, p2 brains, p3 autonomous agents.
  • detail · string · optionnel · summary | full
    summary: functions, agents and trade-offs only. full (default): also the prose on coordination, the bench and the renderers.
  • function · string · optionnel
    Optional: focus on one function, e.g. 'Marketing and growth', 'Finance'.

  Exemple d'appel

  {"name": "get_enterprise_ai_map", "arguments": {"phase": "p1", "detail": "summary", "function": "texte"}}

  Exemple de retour

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

• get_essay≈ 127 tokens

  Get the full text of one essay by Niels Langereis, as Markdown, with its date, site link and the original LinkedIn link. Use the id from search_essays, or a title.

  Paramètres, retour & exemple (1)

  Paramètres

  • id · string · requis
    Essay id (from search_essays) or its title

  Exemple d'appel

  {"name": "get_essay", "arguments": {"id": "texte"}}

  Exemple de retour

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

• get_skill_matrix_method≈ 153 tokens

  Explains Niels Langereis's skill-matrix gap analysis: a competency matrix run for formation rather than efficiency, to find where AI has removed the work that used to turn juniors into seniors. Includes the status rule, how to read it, a worked example and credits. Use before run_skill_matrix if the user wants to understand the method first.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "get_skill_matrix_method", "arguments": {}}

  Exemple de retour

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

• run_skill_matrix≈ 580 tokens

  Runs Niels Langereis's skill-matrix gap analysis for one role and shows it as an interactive matrix the user can edit (who does the work now, bench depth, formation actions). Draft 6 to 10 competencies for the user's role yourself from what you know about it, spanning routine work AI can now do with senior oversight, work AI already runs autonomously, and judgement work that needs a human. Set bench (how many people can do it at the strategic level) from what the user told you; if unknown, use 1 and say it is an estimate they should correct. Omit competencies to show the generic analyst example. The result flags 'At risk' (human work, one person deep), 'Thin' (two deep) and 'Reps gone' (AI runs it autonomously, so the formation that used to happen in reviewing it has gone too: ask where juniors get those reps now). After the user edits, their current matrix arrives in your context.

  Paramètres, retour & exemple (2)

  Paramètres

  • role · string · optionnel
    The role being analysed, e.g. 'Marketing manager at a 200-person B2B firm'.
  • competencies · array · optionnel
    The competencies for this role.

  Exemple d'appel

  {"name": "run_skill_matrix", "arguments": {"role": "texte", "competencies": []}}

  Exemple de retour

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

• search_essays≈ 188 tokens

  Search the essays of Niels Langereis on AI adoption, organisational change, the politics of AI, junior formation and judgement, brand and AI agents, boards and governance. Returns titles, dates, summaries, a matching snippet and links. Leave query empty to list all essays, newest first. Follow up with get_essay for the full text before quoting him.

  Paramètres, retour & exemple (1)

  Paramètres

  • query · string · optionnel
    Topic or question, e.g. 'who owns AI decisions', 'brand lock-in by AI agents'. Empty lists everything.

  Exemple d'appel

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

  Exemple de retour

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

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Source

https://nielslangereis.com/mcp