PeopleSearch.im

im.peoplesearch/email-finderVersion 1.2.0

People search, LinkedIn lookup and verified work emails for AI agents. First search needs no login.

Status

Responds276 msNov 14, 2026, 14:32 UTCAnswered our handshake without sign-in.

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Last checked: Nov 14, 2026, 14:32 UTC
Latency: 276 ms
Remotes responding: 1 of 1
Sign-in: No sign-in
Hosting: Hosted outside the EU (detected)
Registry data as of: Nov 14, 2026, 22:14 UTC

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Connect

Streamable HTTP

https://peoplesearch.im/api/mcpResponds276 msNov 14, 2026, 14:32 UTC

No sign-in

Claude Code

claude mcp add --transport http email-finder https://peoplesearch.im/api/mcp

Claude Desktop and claude.ai

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Settings > Connectors > Add custom connector
Name: email-finder
Remote MCP server URL: https://peoplesearch.im/api/mcp

Cursor

{
  "mcpServers": {
    "email-finder": {
      "url": "https://peoplesearch.im/api/mcp"
    }
  }
}

VS Code

code --add-mcp '{"name":"email-finder","type":"http","url":"https://peoplesearch.im/api/mcp"}'

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Tools

14 tools

Tools of PeopleSearch.im
	Description		Read-only	Idempotent	Open world
`check_credits`Return 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.	Return 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.	No	Yes	Yes	No
`company_search`Search 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 plain English ('Series B fintech companies in London with 50-200 employees') returns the companies that fit it. Searching companies uses no credits. It also works before a PeopleSearch.im account is connected: without one it returns up to 3 companies per search, up to 10 searches a day.	Search 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 plain English ('Series B fintech companies in London with 50-200 employees') returns the companies that fit it. Searching companies uses no credits. It also works before a PeopleSearch.im account is connected: without one it returns up to 3 companies per search, up to 10 searches a day.	No	Yes	Yes	Yes
`fetch_email`Look 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 id (no extra charge) to collect the result once it resolves. Returns a professional address, never a personal one; not every person has a findable work email.	Look 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 id (no extra charge) to collect the result once it resolves. Returns a professional address, never a personal one; not every person has a findable work email.	No	No	Yes	Yes
`find_company_emails`Given 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_linkedin_profile). Spends 2 credits, refunded if none are found.	Given 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_linkedin_profile). Spends 2 credits, refunded if none are found.	No	No	No	Yes
`find_email_from_linkedin`Given a LinkedIn profile URL, return that person's professional email address, verified live, with their current role and company. Use this when you have someone's LinkedIn page and need to email them; for a name and company without a URL use find_work_email. Spends 3 credits, refunded if no email is found.	Given a LinkedIn profile URL, return that person's professional email address, verified live, with their current role and company. Use this when you have someone's LinkedIn page and need to email them; for a name and company without a URL use find_work_email. Spends 3 credits, refunded if no email is found.	No	No	No	Yes
`find_linkedin_profile`Find a named person's LinkedIn profile: its URL with their current title, company and location. Give their first and last name, plus their company (name or website) and/or job title when you know them. A name only one person has is found from the name alone; when several people share it, the answer says how many and nothing is charged, so call again with their company or job title. Spends 2 credits, refunded if no confident match is found.	Find a named person's LinkedIn profile: its URL with their current title, company and location. Give their first and last name, plus their company (name or website) and/or job title when you know them. A name only one person has is found from the name alone; when several people share it, the answer says how many and nothing is charged, so call again with their company or job title. Spends 2 credits, refunded if no confident match is found.	No	No	No	Yes
`find_people`The 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 free. Pass the same filters you checked with people_search, so you pay for the people you saw. Returns each person's real name, title, company, location, LinkedIn URL and an `id`. Set `include_email` to true when the user wants to contact them: each person's verified work email is looked up in the same call, 1 more credit each, refunded when none is found (lookups still running are collected free with fetch_email and the id). Without it, call fetch_email with each person's `id` later. WARNING for autonomous use: this can spend up to `count` credits in a single call (twice that with emails), so choose `count` deliberately and confirm with the user before large batches. Returns an out-of-credits error instead of overspending.	The 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 free. Pass the same filters you checked with people_search, so you pay for the people you saw. Returns each person's real name, title, company, location, LinkedIn URL and an `id`. Set `include_email` to true when the user wants to contact them: each person's verified work email is looked up in the same call, 1 more credit each, refunded when none is found (lookups still running are collected free with fetch_email and the id). Without it, call fetch_email with each person's `id` later. WARNING for autonomous use: this can spend up to `count` credits in a single call (twice that with emails), so choose `count` deliberately and confirm with the user before large batches. Returns an out-of-credits error instead of overspending.	No	No	Yes	Yes
`find_work_email`Find 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 when it can be matched. Spends 2 credits, refunded automatically if no email is found. People who asked to be removed from PeopleSearch.im are never looked up. To find people you cannot name yet, use people_search or find_people, then fetch_email.	Find 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 when it can be matched. Spends 2 credits, refunded automatically if no email is found. People who asked to be removed from PeopleSearch.im are never looked up. To find people you cannot name yet, use people_search or find_people, then fetch_email.	No	No	No	Yes
`lookup_company`Turn a LinkedIn company URL into firmographic data: industry, size, location and website. Spends 1 credit, refunded if the company cannot be retrieved.	Turn a LinkedIn company URL into firmographic data: industry, size, location and website. Spends 1 credit, refunded if the company cannot be retrieved.	No	No	No	Yes
`lookup_linkedin_profile`Turn 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.	Turn 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.	No	No	No	Yes
`people_search`Search 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": ["Investment Banking"], "schools": ["University of Mannheim"]}) or with `query`, a plain-English sentence that is parsed for you (for example 'Heads of Marketing at Series B SaaS in New York'). Results are masked previews (a masked name, role, industry, company size and location) and each one carries an opaque `token`. Searching uses no credits: use it to check that the right people come back before revealing anyone, and refine the filters if they do not. To look up one named person, give `first_name` and `last_name` with their company or company domain when known. For a kind of employer no industry names exactly, use `company_keywords` (words its own description contains, for example ["hostel"] or ["SEO"] with industries ["Marketing Services"]). If nothing matches exactly, the search broadens itself: a job title is read more broadly first (`broadenedRole` gives the title as asked and as searched), then the least essential filters are dropped and `broadenedBy` names them; `ignored` lists any filter that could not be applied. To get a person's real name, LinkedIn and verified email, pass their token to reveal_profile, or use find_people with the same filters to unlock a batch in one call. It also works before a PeopleSearch.im account is connected: without one it returns up to 3 previews per search, up to 10 searches a day.	Search 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": ["Investment Banking"], "schools": ["University of Mannheim"]}) or with `query`, a plain-English sentence that is parsed for you (for example 'Heads of Marketing at Series B SaaS in New York'). Results are masked previews (a masked name, role, industry, company size and location) and each one carries an opaque `token`. Searching uses no credits: use it to check that the right people come back before revealing anyone, and refine the filters if they do not. To look up one named person, give `first_name` and `last_name` with their company or company domain when known. For a kind of employer no industry names exactly, use `company_keywords` (words its own description contains, for example ["hostel"] or ["SEO"] with industries ["Marketing Services"]). If nothing matches exactly, the search broadens itself: a job title is read more broadly first (`broadenedRole` gives the title as asked and as searched), then the least essential filters are dropped and `broadenedBy` names them; `ignored` lists any filter that could not be applied. To get a person's real name, LinkedIn and verified email, pass their token to reveal_profile, or use find_people with the same filters to unlock a batch in one call. It also works before a PeopleSearch.im account is connected: without one it returns up to 3 previews per search, up to 10 searches a day.	No	Yes	Yes	Yes
`reveal_profile`Unlock 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, which spends 1 more credit that is refunded if no email is found. Revealing the same person again is free (idempotent). The email is looked up live and may take a moment: if it returns emailStatus 'searching', call reveal_profile again with the same token (no extra charge) to collect it.	Unlock 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, which spends 1 more credit that is refunded if no email is found. Revealing the same person again is free (idempotent). The email is looked up live and may take a moment: if it returns emailStatus 'searching', call reveal_profile again with the same token (no extra charge) to collect it.	No	No	Yes	Yes
`reverse_email_lookup`Turn 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.	Turn 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.	No	No	No	Yes
`verify_email`Check whether an email address exists and is safe to send to, before it bounces. Checks the format and the domain's mail servers, then asks the mail provider about the exact mailbox, without sending anything. Returns `verdict`: deliverable, undeliverable, risky (a disposable address) or unknown (the mail server neither confirmed nor rejected the mailbox), with `reason`. Spends 1 credit for the mailbox check; a malformed address or a domain that takes no email is answered free, and an unknown is refunded.	Check whether an email address exists and is safe to send to, before it bounces. Checks the format and the domain's mail servers, then asks the mail provider about the exact mailbox, without sending anything. Returns `verdict`: deliverable, undeliverable, risky (a disposable address) or unknown (the mail server neither confirmed nor rejected the mailbox), with `reason`. Spends 1 credit for the mailbox check; a malformed address or a domain that takes no email is answered free, and an unknown is refunded.	No	No	No	Yes

Details

Registry status: Active
Published: Oct 12, 2026
Updated: Oct 12, 2026
Website: https://peoplesearch.im/mcp⁠ (opens in a new tab)
Repository: Not given
Categories (suggested): CommunicationSuggested categories are assigned automatically from the registry text and may be wrong. Verified operators can correct them.
GDPR: Not declared

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