run.agentdata/agentdata

Est-ce que run.agentdata/agentdata est sûr ?

Au dernier audit MCP Hub, le serveur MCP « run.agentdata/agentdata » 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

• check_usage≈ 123 tokens

  Use this before a large task to see how much of today's allowance is left: requests in the current 5-hour window, distinct companies today and, with an API key, contact reveals. Free and not counted.

  Paramètres, retour & exemple (0)

  Exemple d'appel

  {"name": "check_usage", "arguments": {}}

  Exemple de retour

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

• find_people≈ 541 tokens

  Use this when the user wants people at a company or in a role: names, job titles, seniority, department and LinkedIn URLs found on company team, about and author pages. Filter by company domain, name, title, seniority, department, sector or B2B/B2C. Without an API key it returns what the public people directory shows to a visitor who is not signed in: the first 20 matches, with the last 5 withheld, and no email addresses. Narrow the filters (for example a domain plus a title) to get the right people into that first page.

  Paramètres, retour & exemple (9)

  Paramètres

  • q · string · optionnel
    Name search
  • title · string · optionnel
    Title contains, e.g. 'CTO', 'Head of Sales'
  • domain · string · optionnel
    Only people at this company domain, e.g. stripe.com
  • sector · string · optionnel · Software & SaaS | Developer Tools & Infrastructure | Data & AI | Marketing & Sales Tech | Financial Services & Fintech | E-commerce & Retail | Healthcare & Life Sciences | Education & Learning
    Industry sector, exact label from the list
  • b2b_b2c · string · optionnel · b2b | b2c | both
    b2b, b2c or both
  • has_email · boolean · optionnel
    Only people with an email address found (the address itself needs an API key)
  • seniority · string · optionnel · founder | executive | senior | mid | junior
    founder, executive, senior, mid or junior
  • department · string · optionnel · engineering | product | design | marketing | sales | customer_success | support | operations
  • has_linkedin · boolean · optionnel
    Only people with a LinkedIn URL

  Exemple d'appel

  {"name": "find_people", "arguments": {"q": "texte", "title": "texte", "domain": "texte", "sector": "Software & SaaS", "b2b_b2c": "b2b", "has_email": true}}

  Exemple de retour

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

• get_signals≈ 573 tokens

  Use this when the user asks which companies recently started, stopped or switched using a technology, for example companies that left Intercom or adopted HubSpot: set moved_from or moved_to. Also covers growth and hiring changes. Newest first. Changes are recorded as each site is re-crawled, so an empty result means none recorded yet, not that none happened. Works without an API key; no contact reveals.

  Paramètres, retour & exemple (9)

  Paramètres

  • days · integer · optionnel
    Only signals detected in the last N days
  • size · string · optionnel · micro | small | medium | large
    Estimate, not headcount: a band by how many people and addresses we found on the company's own website: micro (1-5), small (6-20), medium (21-60), large (61+). Large companies often publish few, so do not use it to exclude them.
  • type · string · optionnel · tool_added | tool_removed | tool_switched | employee_growth | employee_decline | hiring_surge | hiring_stopped | name_changed
    Signal type; omit for all technology signals
  • limit · integer · optionnel
    Results per page, default 20
  • offset · integer · optionnel
  • sector · string · optionnel · Software & SaaS | Developer Tools & Infrastructure | Data & AI | Marketing & Sales Tech | Financial Services & Fintech | E-commerce & Retail | Healthcare & Life Sciences | Education & Learning
    Industry sector, exact label from the list
  • b2b_b2c · string · optionnel · b2b | b2c | both
    b2b, b2c or both
  • moved_to · string · optionnel
    Technology the company adopted, e.g. 'HubSpot'
  • moved_from · string · optionnel
    Technology the company dropped, e.g. 'Zendesk'

  Exemple d'appel

  {"name": "get_signals", "arguments": {"days": 1, "size": "micro", "type": "tool_added", "limit": 1, "offset": 1, "sector": "Software & SaaS"}}

  Exemple de retour

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

• get_technologies≈ 318 tokens

  Use this when the user asks which companies use a particular technology (for example Intercom, Zendesk, HubSpot, Shopify, Stripe), or which technologies are most used. With a slug: companies detected using that technology, 20 per page. company_count is every company detected using it; listed_count is how many the list can page through, so stop at page ceil(listed_count / 20). Without a slug: the technology index, most-used first, with company counts (default 100, up to 1,000). Slugs are lower-case with hyphens, e.g. intercom, hubspot, google-analytics, shopify. Works without an API key; no contact reveals.

  Paramètres, retour & exemple (3)

  Paramètres

  • page · integer · optionnel
    Page of companies when a slug is given
  • slug · string · optionnel
    Technology slug, e.g. intercom
  • limit · integer · optionnel
    Index size when no slug is given, default 100

  Exemple d'appel

  {"name": "get_technologies", "arguments": {"page": 1, "slug": "texte", "limit": 1}}

  Exemple de retour

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

• lookup_company≈ 407 tokens

  Use this when the user asks about one specific company and you know its website domain, for example to research an account before a call: what it does, sector and business model, headquarters where known, the tools and technologies it runs (each with how it was detected and when it was first and last seen), and web signals (pricing page, free trial, API docs, careers). Without an API key it returns everything the public company page shows to a visitor who is not signed in: company facts (employees, funding stage, founded, headquarters, sales motion, tech sophistication), the email format (for example {first}.{last}@domain), general inboxes such as info@ and sales@, address and phone where listed, how many email addresses and people were found, the top people's titles, seniority and LinkedIn URLs (not names), recent activity, recent tool changes and similar companies. Personal email addresses and names need an API key; for names at a company use find_people with its domain. A domain not profiled yet is crawled on request: the reply says when to retry, usually within a few minutes, and nothing is charged. Do not use it to find a company by name; use search_companies to get the domain first.

  Paramètres, retour & exemple (1)

  Paramètres

  • domain · string · requis
    Bare domain, e.g. stripe.com (no https://, no path)

  Exemple d'appel

  {"name": "lookup_company", "arguments": {"domain": "texte"}}

  Exemple de retour

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

• search_companies≈ 587 tokens

  Use this to find a company by name or part of its domain (query), or to build a list of companies by sector, business model, B2B or B2C, technology used or headquarters country. Returns up to 20 company summaries per page, with how many email addresses were found for each. Use lookup_company for one company's full record, and get_technologies to page through every company using one tool. Works without an API key; no contact reveals.

  Paramètres, retour & exemple (9)

  Paramètres

  • b2b · string · optionnel · b2b | b2c | both
    b2b, b2c or both
  • page · integer · optionnel
    Page number, 20 companies per page
  • size · string · optionnel · micro | small | medium | large
    Estimate, not headcount: a band by how many people and addresses we found on the company's own website: micro (1-5), small (6-20), medium (21-60), large (61+). Large companies often publish few, so do not use it to exclude them.
  • tech · string · optionnel
    Technology name as detected, e.g. 'Intercom', 'HubSpot', 'Shopify'
  • model · string · optionnel · saas | marketplace | agency | service | ecommerce | other
    Business model
  • query · string · optionnel
    Company name or domain fragment, e.g. 'notion' or 'stripe.com'. Used on its own; filters below are ignored when set.
  • sector · string · optionnel · Software & SaaS | Developer Tools & Infrastructure | Data & AI | Marketing & Sales Tech | Financial Services & Fintech | E-commerce & Retail | Healthcare & Life Sciences | Education & Learning
    Industry sector, exact label from the list
  • country · string · optionnel
    Headquarters country, ISO-2 code such as US or GB
  • vertical · string · optionnel
    Vertical inside the sector, free text as stored, e.g. 'B2B SaaS'

  Exemple d'appel

  {"name": "search_companies", "arguments": {"b2b": "b2b", "page": 1, "size": "micro", "tech": "texte", "model": "saas", "query": "texte"}}

  Exemple de retour

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

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Source

https://mcp.agentdata.run/mcp