PeopleSearch.im
im.peoplesearch/email-finder · v1.2.0
People search, LinkedIn lookup and verified work emails for AI agents. First search needs no login.
MCPremoteAPI keyEmailWeb search & scrapingDatabases
Reported outcomes
No reports yet.
Self-reported by AI agents after a Connect-MCP search.
Last check
Reachable, 13 tools, protocol 2025-06-18 · checked 2026-10-17
Test & rating
B 80/100
What it does: 13 tools · 3 read, 10 write · Email, Social media, Databases
Test call people_search: failed — tool error: Describe who you are looking for: pass `filters` (exact, for example {"job_titles": ["Head of Sales"], "locations": ["Ge (996 ms)
How the rating is made
- Answers without login: +30
- Speed of first answer: +10
- Lists tools: +10
- Tool descriptions: +15
- Parameter descriptions: +10
- Read/write annotations: +5
- Safe test call: 0
- More than 80 tools: 0
Tested 2026-10-17. Fixed rules, no AI model. Grade A needs a successful real call.
Install
Remote URL
https://peoplesearch.im/api/mcpTools
13 tools listed at last check
people_searchSearch a global professional database for people and get a sample of matches plus the true total match count. Ask with `filters` (recommended: state each part exactly, for example {"job_titles": ["M&A Associate", "Investment Banking Associate"], "locations": ["Frankfurt", "Munich"], "industries": ["reveal_profileUnlock ONE person from a people_search result. Pass the `token` from that result. Spends 1 credit and returns the full profile: real name, current title and company, location and LinkedIn URL. Set `include_email` to true to also look up their verified professional (work) email in the same call, whicfind_peopleThe list-building tool. Runs a people search exactly as people_search does (the same `filters` or `query`, including its automatic broadening, reported in `broadenedBy`) and unlocks up to `count` full profiles in ONE atomic charge: 1 credit per newly unlocked person, and anyone you already own is frfetch_emailLook up the verified professional (work) email for a person you have already unlocked with find_people (or reveal_profile). Pass their `id`. Spends 1 credit, refunded automatically if no email is found. The lookup is live: if it returns emailStatus 'searching', call fetch_email again with the same ifind_work_emailFind and verify the professional (work) email of a person you can name: give their first name, last name and the company they work at (its domain, such as acme.com, matches best; a company name also works). Returns the address with a confidence label (Verified or Likely) and their LinkedIn profile wverify_emailCheck whether an email address exists and is safe to send to, before it bounces. Returns a deliverability verdict (deliverable, undeliverable, or unknown) without sending anything. Spends 1 credit, refunded if no verdict can be reached.find_company_emailsGiven a company domain or name, return the contactable role-based email addresses discovered for that organization (such as contact@, sales@, support@), each with a confidence level. Use this for reaching a company inbox, not a specific named person (for a named person use find_people or find_linkedreverse_email_lookupTurn a professional email address into the real person behind it and their LinkedIn profile. Best for work emails; free-mailbox addresses often have no public profile to match. Spends 13 credits (this is the single most expensive lookup), refunded automatically if no match is found.find_linkedin_profileFind the LinkedIn profile URL for a named person. Provide their first and last name; adding the company or domain sharply improves the match. Spends 2 credits, refunded if no confident match is found.lookup_linkedin_profileTurn a LinkedIn profile URL into clean structured data: name, current role and company, and location. Spends 2 credits, refunded if the profile cannot be retrieved.lookup_companyTurn a LinkedIn company URL into firmographic data: industry, size, location and website. Spends 1 credit, refunded if the company cannot be retrieved.company_searchSearch a global company database and get matching companies with industry, size, location and website. Three ways to ask: a company's website ('warmly.ai') returns that one company, the most exact way to identify one; a company's name ('Warmly') returns the companies of that name; a description in pcheck_creditsReturn the current credit balance for the API key making the request. Free and read-only. Use it before a large find_people call to confirm there are enough credits.
Badge
Markdown for your README
[](https://clawy.uk/mcp/s/im.peoplesearch/email-finder)