Find People Within Company

Give it a company domain, get back the people who work there.

What it does

• Searches for people working at one specific company, identified by its website domain.
• Pulls from multiple providers, then merges and deduplicates the results into one list.
• job_title narrows the list to the roles you care about — pass an array like ["CTO", "VP Engineering"].
• Returns 5 profiles by default, up to 50 per call via max_profiles.
• Cost is flat per call — 5 profiles and 50 profiles cost the same.

It returns profiles at one company. To search across many companies at once, use find_people instead — that tool takes role, size, location and education filters and costs 0.3 credits per result.

Parameters

How to use it

Find the CTO at stripe.com

Find people at stripe.com with the titles CTO, VP Engineering, or
Head of Platform. Return up to 20 profiles.

For those profiles, find work emails and verify them. Do not guess
email patterns.

Example prompts

Best prompting practices

• Pass the domain, not the company name. The domain is the required input and it is unambiguous. company_name is a supporting hint, not a substitute.
• List title variants. “Head of Engineering” and “VP Engineering” are different strings. Pass both in the job_title array.
• Raise max_profiles on purpose. The default of 5 is small. The cost does not change when you ask for 50, so ask for the number you need in one call rather than repeating the call.
• Say the company once per call. One domain per call — for a list of accounts, loop and cap the batch: “run this for these 20 domains and report credits used”.
• Search before you enrich. Confirm the profiles look right before spending credits on emails or phone numbers.

Output

{
  "profiles": [
    {
      "name": "Jane Doe",
      "title": "CTO",
      "company": "Stripe",
      "linkedin_url": "https://linkedin.com/in/janedoe"
    }
  ]
}

Credits and limits

0.3 credits per call, flat. max_profiles accepts 1–50 and defaults to 5. Run check_credits (free) before looping across a list of domains.

Related tools

Next steps

• All MCP tools — the full catalogue with credit costs
• MCP use cases — account-based list building
• AI for Sales Reps — workflows that chain this tool into a list build

Keep learning

Two courses take these tools past the reference page — clustered by GTM job, then chained into workflows.