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MCPToolsFind Personal Email

Find Personal Email

Give it a LinkedIn profile URL, get back that person’s personal email address.

Tool
find_personal_email
Cost
3 credits
Category
Person Enrichment
Required input
linkedin_url
Returns
Personal email address

What it does

  • Resolves a LinkedIn profile URL to the person’s personal email address.
  • Runs waterfall enrichment — Datagma, RocketReach, LeadMagic, Forager, Findymail and LinkedIn, tried in sequence.
  • Stops at the first provider that returns a result. You are charged once per lookup, not once per provider tried.
  • Passing first_name, last_name and organization_name alongside the URL raises the hit rate on sparse profiles.
  • An empty result means no provider had the address — not that the person has no personal email.

It finds an address. It does not check that the address is deliverable — chain verify_email for that.


Parameters

ParameterTypeRequiredNotes
linkedin_urlstringYesFull LinkedIn profile URL
first_namestringNoImproves match rate
last_namestringNoImproves match rate
organization_namestringNoDisambiguates common names

How to use it

Connect the MCP server

Follow the setup guide for your client. Browser sign-in, no API key.

Check your balance first

Check my SyncGTM credits

At 3 credits a lookup, a 100-row list costs 300 credits.

Ask for one address

Find the personal email for linkedin.com/in/janedoe

Enrich a capped list

Find personal emails for these 25 LinkedIn URLs. Stop after 25, skip anyone where nothing is found, and do not guess an address. Report credits used.

Example prompts

Ask your clientWhat you get back
”Personal email for linkedin.com/in/janedoe”One personal address
”Try the work email first, personal only if that fails”The cheaper lookup first, this one as fallback
”Find and verify personal emails for this list”Address plus deliverability status per row
”Personal email for Jane Doe, VP Sales at Stripe”Resolves the profile first, then the address

Best prompting practices

  • Say “personal email”. Say it every time. A vague “find her email” will usually land on find_work_email, which is a different address at a third of the cost.
  • Try the work email first when either address would do. One credit beats three.
  • Pass the name and company alongside the URL whenever you have them — they are free and they lift the hit rate.
  • Forbid guessing. Add “do not guess email patterns” to any batch prompt. A fabricated address looks exactly like a result and bounces like a fake.
  • Cap the batch. “Stop after 25 and report credits used” matters three times as much here as it does on a 1-credit tool.

Output

{ "email": "jane.doe@gmail.com", "status": "found", "linkedin_url": "https://linkedin.com/in/janedoe" }

Credits and limits

3 credits per lookup. Run check_credits (free) before a large batch.

This is the most expensive of the email tools — three times find_work_email. An empty result still costs a credit, so run it on a capped, pre-filtered list rather than a whole export. If a work address would serve the same purpose, use the cheaper tool.


ToolUse it instead when
find_work_emailA business address will do — 1 credit
verify_emailYou already have the address and need deliverability — 0.3 credits
find_linkedin_from_personal_emailYou have the personal address and want the profile — 2 credits
enrich_personYou want the whole record, not just an email — 1 credit

Next steps


Keep learning

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