AgentData

Measured conclusion: Deep-tested. L2 outcome: tools_ok.

Free company data for AI agents: profiles, tech stacks, contact details and people. No sign-in.

Add to your agent

Copy this into your MCP client config:

{
  "mcpServers": {
    "AgentData": {
      "url": "https://mcp.agentdata.run/mcp",
      "transport": "streamable-http"
    }
  }
}

Measured tools (6)

• lookup_company read-only

  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.

  Parameters:

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

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

• search_companies read-only

  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.

  Parameters:

  • b2b — string — b2b, b2c or both
  • page — integer — Page number, 20 companies per page
  • size — string — 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 — Technology name as detected, e.g. 'Intercom', 'HubSpot', 'Shopify'
  • model — string — Business model
  • query — string — Company name or domain fragment, e.g. 'notion' or 'stripe.com'. Used on its own; filters below are ignored when set.
  • sector — string — Industry sector, exact label from the list
  • country — string — Headquarters country, ISO-2 code such as US or GB
  • vertical — string — Vertical inside the sector, free text as stored, e.g. 'B2B SaaS'

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

• find_people read-only

  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.

  Parameters:

  • q — string — Name search
  • title — string — Title contains, e.g. 'CTO', 'Head of Sales'
  • domain — string — Only people at this company domain, e.g. stripe.com
  • sector — string — Industry sector, exact label from the list
  • b2b_b2c — string — b2b, b2c or both
  • has_email — boolean — Only people with an email address found (the address itself needs an API key)
  • seniority — string — founder, executive, senior, mid or junior
  • department — string
  • has_linkedin — boolean — Only people with a LinkedIn URL

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

• get_technologies read-only

  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.

  Parameters:

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

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

• get_signals read-only

  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.

  Parameters:

  • days — integer — Only signals detected in the last N days
  • size — string — 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 — Signal type; omit for all technology signals
  • limit — integer — Results per page, default 20
  • offset — integer
  • sector — string — Industry sector, exact label from the list
  • b2b_b2c — string — b2b, b2c or both
  • moved_to — string — Technology the company adopted, e.g. 'HubSpot'
  • moved_from — string — Technology the company dropped, e.g. 'Zendesk'

  Hints: read-only yes · destructive no · idempotent not declared · open-world yes

• check_usage read-only

  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.

  Hints: read-only yes · destructive no · idempotent not declared · open-world no

Publisher website Repository

Measured by MCPYP probing. Untested fields are omitted, never estimated. Listing is always free; MCPYP never proxies calls or stores user tokens.