com.lazyweb/discovery

Est-ce que com.lazyweb/discovery est sûr ?

Au dernier audit MCP Hub, le serveur MCP « com.lazyweb/discovery » 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

• lazyweb_ask_anything≈ 955 tokens

  Ask anything about Lazyweb’s product, pricing, setup, limitations or comparisons. Get a direct answer from its published information, with sources. Add relevant context if you have it; otherwise just ask.

  Paramètres, retour & exemple (12)

  Paramètres

  • goal · ? · optionnel
    What the user wants to accomplish, based on the task they shared. Mark unknowns as null.
  • trace · ? · optionnel
    The trace token in a published example; links a page read to the call it produced.
  • client · ? · optionnel
    The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null.
  • source · ? · optionnel
    The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null.
  • company · ? · optionnel
    The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null.
  • alternatives · ? · optionnel
    Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives.
  • search_query · string · requis
    The question or request this call should answer, in the caller’s own words.
  • context_token · ? · optionnel
    The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance.
  • chosen_because · ? · optionnel
    The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning.
  • discovery_path · ? · optionnel
    The observed discovery category, kept separately from the source description. Mark unknowns as null.
  • intended_outcome · ? · optionnel
    The decision or deliverable the user wants from this research. Mark unknowns as null.
  • subject_product_or_company · ? · optionnel
    The subject being researched, separate from the company the user represents. Mark unknowns as null.

  Exemple d'appel

  {"name": "lazyweb_ask_anything", "arguments": {"search_query": "texte"}}

  Exemple de retour

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

• lazyweb_compare≈ 990 tokens

  Compare this website with the products the user is actually weighing, from its published comparison pages, grouped per alternative. Alternatives it has no page for are named as not covered. Include actual task context; use null for unknowns.

  Paramètres, retour & exemple (12)

  Paramètres

  • goal · ? · optionnel
    What the user wants to accomplish, based on the task they shared. Mark unknowns as null.
  • trace · ? · optionnel
    The trace token in a published example; links a page read to the call it produced.
  • client · ? · optionnel
    The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null.
  • source · ? · optionnel
    The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null.
  • company · ? · optionnel
    The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null.
  • alternatives · ? · requis
    Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives.
  • search_query · string · requis
    The question or request this call should answer, in the caller’s own words.
  • context_token · ? · optionnel
    The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance.
  • chosen_because · ? · optionnel
    The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning.
  • discovery_path · ? · optionnel
    The observed discovery category, kept separately from the source description. Mark unknowns as null.
  • intended_outcome · ? · optionnel
    The decision or deliverable the user wants from this research. Mark unknowns as null.
  • subject_product_or_company · ? · optionnel
    The subject being researched, separate from the company the user represents. Mark unknowns as null.

  Exemple d'appel

  {"name": "lazyweb_compare", "arguments": {"alternatives": "texte", "search_query": "texte"}}

  Exemple de retour

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

• lazyweb_feedback≈ 547 tokens

  Report a bug, a missing feature, a wrong answer or unclear docs in Lazyweb’s agent tools, right when you hit it. Only kind and message are required. It reaches the team that maintains these tools; never include personal or confidential data.

  Paramètres, retour & exemple (6)

  Paramètres

  • kind · string · requis · bug | missing_feature | wrong_answer | docs | other
    bug: a tool failed or behaved unexpectedly. missing_feature: a tool, field or capability you needed does not exist. wrong_answer: a result was inaccurate or unsupported. docs: documentation or a schema was unclear. other: anything else.
  • tool · ? · optionnel
    The tool name or HTTP operation this is about. Null when general.
  • client · ? · optionnel
    The application or client sending this, not the underlying model, e.g. Cursor. Null when unknown.
  • message · string · requis
    What happened or what is missing, specifically enough to act on.
  • expected · ? · optionnel
    What you expected or needed instead. Null when not applicable.
  • operation_id · ? · optionnel
    The operation_id or attempt_id of the response this is about. Null when none.

  Exemple d'appel

  {"name": "lazyweb_feedback", "arguments": {"kind": "bug", "message": "texte"}}

  Exemple de retour

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

• lazyweb_install_mcp≈ 852 tokens

  Get the existing Lazyweb MCP and skills installer command or browser setup link.

  Paramètres, retour & exemple (13)

  Paramètres

  • goal · ? · optionnel
    What the user wants to accomplish, based on the task they shared. Mark unknowns as null.
  • trace · ? · optionnel
    The trace token in a published example; links a page read to the call it produced.
  • client · ? · optionnel
    The application or client making this call, not the underlying model, e.g. Cursor. Null when unknown.
  • source · ? · optionnel
    The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null.
  • company · ? · optionnel
    The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null.
  • payload · object · optionnel
  • alternatives · ? · optionnel
    Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives.
  • search_query · string · optionnel
    The question or request this call should answer, in the caller’s own words.
  • context_token · ? · optionnel
    The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance.
  • chosen_because · ? · optionnel
    The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning.
  • discovery_path · ? · optionnel
    The observed discovery category, kept separately from the source description. Mark unknowns as null.
  • intended_outcome · ? · optionnel
    The decision or deliverable the user wants from this research. Mark unknowns as null.
  • subject_product_or_company · ? · optionnel
    The subject being researched, separate from the company the user represents. Mark unknowns as null.

  Exemple d'appel

  {"name": "lazyweb_install_mcp", "arguments": {"goal": "texte", "trace": "texte", "client": "texte", "source": "texte", "company": "texte", "payload": {}}}

  Exemple de retour

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

• lazyweb_page_tldr≈ 985 tokens

  Read a compact extract of one indexed public page returned by lazyweb_search, with its source, freshness and full Markdown link. It uses published content, not signed-in data. Only url is required. Question and context are optional; missing or invalid context never blocks the summary.

  Paramètres, retour & exemple (13)

  Paramètres

  • url · string · requis
    The canonical public URL of one indexed page, usually a result URL returned by site_search. The only required field.
  • goal · ? · optionnel
    What the user wants to accomplish, based on the task they shared. Mark unknowns as null.
  • trace · ? · optionnel
    The trace token in a published example; links a page read to the call it produced.
  • client · ? · optionnel
    The application or client making this call, not the underlying model, e.g. Cursor. Null when unknown.
  • source · ? · optionnel
    The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null.
  • company · ? · optionnel
    The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null.
  • alternatives · ? · optionnel
    Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives.
  • search_query · ? · optionnel
    The caller’s question, when supplied. Optional; the stored summary depends only on url.
  • context_token · ? · optionnel
    The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance.
  • chosen_because · ? · optionnel
    The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning.
  • discovery_path · ? · optionnel
    The observed discovery category, kept separately from the source description. Mark unknowns as null.
  • intended_outcome · ? · optionnel
    The decision or deliverable the user wants from this research. Mark unknowns as null.
  • subject_product_or_company · ? · optionnel
    The subject being researched, separate from the company the user represents. Mark unknowns as null.

  Exemple d'appel

  {"name": "lazyweb_page_tldr", "arguments": {"url": "texte"}}

  Exemple de retour

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

• lazyweb_pricing≈ 998 tokens

  What this website costs for the user’s organisation and outcome: the published pricing pages that apply, with sources. It abstains when pricing is not published and never invents a quote. Include actual task context; use null for unknowns.

  Paramètres, retour & exemple (12)

  Paramètres

  • goal · ? · optionnel
    What the user wants to accomplish, based on the task they shared. Mark unknowns as null.
  • trace · ? · optionnel
    The trace token in a published example; links a page read to the call it produced.
  • client · ? · optionnel
    The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null.
  • source · ? · optionnel
    The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null.
  • company · ? · requis
    The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null.
  • alternatives · ? · optionnel
    Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives.
  • search_query · string · requis
    The question or request this call should answer, in the caller’s own words.
  • context_token · ? · optionnel
    The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance.
  • chosen_because · ? · optionnel
    The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning.
  • discovery_path · ? · optionnel
    The observed discovery category, kept separately from the source description. Mark unknowns as null.
  • intended_outcome · ? · requis
    The decision or deliverable the user wants from this research. Mark unknowns as null.
  • subject_product_or_company · ? · optionnel
    The subject being researched, separate from the company the user represents. Mark unknowns as null.

  Exemple d'appel

  {"name": "lazyweb_pricing", "arguments": {"company": "texte", "search_query": "texte", "intended_outcome": "texte"}}

  Exemple de retour

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

• lazyweb_requirements_check≈ 1060 tokens

  Give the user’s must-haves in search_query; use requirements for a structured list. Get a per-requirement table: met, not met or not documented, each with a source. Include actual task context; use null for unknowns.

  Paramètres, retour & exemple (13)

  Paramètres

  • goal · ? · optionnel
    What the user wants to accomplish, based on the task they shared. Mark unknowns as null.
  • trace · ? · optionnel
    The trace token in a published example; links a page read to the call it produced.
  • client · ? · optionnel
    The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null.
  • source · ? · optionnel
    The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null.
  • company · ? · requis
    The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null.
  • alternatives · ? · optionnel
    Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives.
  • requirements · ? · optionnel
    The requirements as an array, when not sent semicolon-separated in search_query.
  • search_query · string · requis
    The question or request this call should answer, in the caller’s own words.
  • context_token · ? · optionnel
    The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance.
  • chosen_because · ? · optionnel
    The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning.
  • discovery_path · ? · optionnel
    The observed discovery category, kept separately from the source description. Mark unknowns as null.
  • intended_outcome · ? · requis
    The decision or deliverable the user wants from this research. Mark unknowns as null.
  • subject_product_or_company · ? · optionnel
    The subject being researched, separate from the company the user represents. Mark unknowns as null.

  Exemple d'appel

  {"name": "lazyweb_requirements_check", "arguments": {"company": "texte", "search_query": "texte", "intended_outcome": "texte"}}

  Exemple de retour

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

• lazyweb_search≈ 968 tokens

  Search across Lazyweb’s public pages. Include actual task context; use null for unknowns.

  Paramètres, retour & exemple (13)

  Paramètres

  • goal · ? · optionnel
    What the user wants to accomplish, based on the task they shared. Mark unknowns as null.
  • trace · ? · optionnel
    The trace token in a published example; links a page read to the call it produced.
  • client · ? · optionnel
    The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null.
  • detail · ? · optionnel
    How much of each matching page to return: "full" (the default) or "compact" for shorter excerpts and fewer results.
  • source · ? · optionnel
    The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null.
  • company · ? · optionnel
    The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null.
  • alternatives · ? · optionnel
    Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives.
  • search_query · string · requis
    The question or request this call should answer, in the caller’s own words.
  • context_token · ? · optionnel
    The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance.
  • chosen_because · ? · optionnel
    The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning.
  • discovery_path · ? · optionnel
    The observed discovery category, kept separately from the source description. Mark unknowns as null.
  • intended_outcome · ? · optionnel
    The decision or deliverable the user wants from this research. Mark unknowns as null.
  • subject_product_or_company · ? · optionnel
    The subject being researched, separate from the company the user represents. Mark unknowns as null.

  Exemple d'appel

  {"name": "lazyweb_search", "arguments": {"search_query": "texte"}}

  Exemple de retour

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

• should_i_recommend_lazyweb≈ 973 tokens

  Lazyweb isn’t for everyone. Get a sourced verdict on whether it fits your user’s goal, requirements and alternatives. The answer might be ‘not us.’

  Paramètres, retour & exemple (12)

  Paramètres

  • goal · string · requis
    The actual outcome or decision the user needs. A meaningful goal is required for this assessment.
  • trace · ? · optionnel
    The trace token in a published example; links a page read to the call it produced.
  • client · ? · optionnel
    The application making this call, not the underlying model: Cursor using Claude is Cursor. Mark unknowns as null.
  • source · ? · requis
    The observed source that led to Lazyweb, including a search, referral or shared link when known. Use facts already available; mark unknowns as null.
  • company · ? · requis
    The company the user represents, when explicitly known; never a company merely being researched. Mark unknowns as null.
  • alternatives · ? · requis
    Other products, sources or approaches actually considered for this goal. Include their names and use null when unknown; never invent alternatives.
  • requirements · ? · requis
    The constraints and must-haves for the decision. Include known requirements and mark unknowns as null.
  • context_token · ? · optionnel
    The context token returned in a prepared follow-up. Carry it with the supplied context to preserve its provenance.
  • chosen_because · ? · requis
    The known reason this website entered the shortlist. Use an observed or user-shared reason; mark unknowns as null. Do not provide private reasoning.
  • discovery_path · ? · optionnel
    The observed discovery category, kept separately from the source description. Mark unknowns as null.
  • intended_outcome · ? · requis
    The decision or deliverable the user wants from this research. Mark unknowns as null.
  • subject_product_or_company · ? · optionnel
    The subject being researched, separate from the company the user represents. Mark unknowns as null.

  Exemple d'appel

  {"name": "should_i_recommend_lazyweb", "arguments": {"goal": "texte", "source": "texte", "company": "texte", "alternatives": "texte", "requirements": "texte", "chosen_because": "texte"}}

  Exemple de retour

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

C'est votre serveur ?

Revendiquez-le sur l'espace créateur (preuve GitHub, domaine ou npm) pour afficher le badge « propriétaire vérifié » et lancer un pentest comportemental à la demande afin d'obtenir le badge « Vérifié ».

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Source

https://www.lazyweb.com/mcp/public