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_nameandorganization_namealongside 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
| Parameter | Type | Required | Notes |
|---|---|---|---|
linkedin_url | string | Yes | Full LinkedIn profile URL |
first_name | string | No | Improves match rate |
last_name | string | No | Improves match rate |
organization_name | string | No | Disambiguates 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 creditsAt 3 credits a lookup, a 100-row list costs 300 credits.
Ask for one address
Find the personal email for linkedin.com/in/janedoeEnrich 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 client | What 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.
Related tools
| Tool | Use it instead when |
|---|---|
find_work_email | A business address will do — 1 credit |
verify_email | You already have the address and need deliverability — 0.3 credits |
find_linkedin_from_personal_email | You have the personal address and want the profile — 2 credits |
enrich_person | You want the whole record, not just an email — 1 credit |
Next steps
- All MCP tools — the full catalogue with credit costs
- 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.
SyncGTM MCP Mini CourseBeginnerMCP server · 8 lessons · 1h 31mAll 50 MCP tools clustered by GTM job — lead sourcing, CRM enrichment, social signals, account research, scraping — with copy-paste workflow prompts.AI-Powered GTMIntermediateApp + MCP · 19 lessons · 3h 6mWhere AI earns its cost, how to think in MCP tool chains, and three agentic builds — warm outbound, meeting research, CRM repair.