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Search / im.peoplesearch/email-finder

PeopleSearch.im

R0· no sign-in

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

v1.2.0 · active · website · descriptor JSON · versions

An agent can connect right now, no human step.Remote endpoint, no authentication, reachable on the last probe.
Quality83good
Trust83of 100
Uptime, 30 days100%
Latency p50360 ms

Connect

8 clients · secrets stay placeholders
{
  "mcpServers": {
    "email-finder": {
      "type": "http",
      "url": "https://peoplesearch.im/api/mcp",
      "headers": {
        "Authorization": "Bearer ${EMAIL_FINDER_TOKEN}"
      }
    }
  }
}
claude mcp add --transport http email-finder https://peoplesearch.im/api/mcp --header "Authorization: Bearer ${EMAIL_FINDER_TOKEN}"
[mcp_servers.email-finder]
url = "https://peoplesearch.im/api/mcp"
bearer_token_env_var = "EMAIL_FINDER_TOKEN"
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "email-finder": {
      "type": "remote",
      "url": "https://peoplesearch.im/api/mcp",
      "enabled": true,
      "headers": {
        "Authorization": "Bearer {env:EMAIL_FINDER_TOKEN}"
      }
    }
  }
}
{
  "mcpServers": {
    "email-finder": {
      "type": "http",
      "url": "https://peoplesearch.im/api/mcp",
      "headers": {
        "Authorization": "Bearer ${EMAIL_FINDER_TOKEN}"
      }
    }
  },
  "deeplink": "cursor://anysphere.cursor-deeplink/mcp/install?name=email-finder&config=eyJ0eXBlIjoiaHR0cCIsInVybCI6Imh0dHBzOi8vcGVvcGxlc2VhcmNoLmltL2FwaS9tY3AiLCJoZWFkZXJzIjp7IkF1dGhvcml6YXRpb24iOiJCZWFyZXIgJHtFTUFJTF9GSU5ERVJfVE9LRU59In19"
}
{
  "servers": {
    "email-finder": {
      "type": "http",
      "url": "https://peoplesearch.im/api/mcp",
      "headers": {
        "Authorization": "Bearer ${EMAIL_FINDER_TOKEN}"
      }
    }
  }
}
{
  "mcpServers": {
    "email-finder": {
      "httpUrl": "https://peoplesearch.im/api/mcp",
      "headers": {
        "Authorization": "Bearer ${EMAIL_FINDER_TOKEN}"
      }
    }
  }
}
extensions:
  "email-finder":
    enabled: true
    name: "email-finder"
    type: streamable_http
    uri: "https://peoplesearch.im/api/mcp"
    headers:
      "Authorization": "Bearer ${EMAIL_FINDER_TOKEN}"
    timeout: 300

Placeholders to fill from your own secret store: ${EMAIL_FINDER_TOKEN}. The registry never accepts secret values.

Quality 83 / 100good

protocol75 · weight 25
  • warn
    protocol.modernnewest supported version is 2025-11-25; 2026-07-28 not supported, older versions are deprecated until 2027-07-28
  • n/a
    protocol.statelessonly applies to 2026-07-28 servers
  • pass
    protocol.transportstreamable HTTP
  • n/a
    protocol.list_ttlonly applies to 2026-07-28 servers
authorizationn/a · weight 15
  • n/a
    auth.prm, auth.as_metadata, auth.cimdno remote uses OAuth
  • n/a
    auth.secret_in_urlno templated URL
tool hygiene93 · weight 30
  • pass
    tools.descriptionsevery tool has a description
  • warn
    tools.description_length1 tools have descriptions over 1,024 characters, which crowds the context
  • pass
    tools.schemasevery tool has an object input schema
  • pass
    tools.annotations13 of 13 tools declare readOnlyHint or destructiveHint
  • pass
    tools.directory_hintsevery tool declares readOnlyHint, destructiveHint, idempotentHint and openWorldHint
  • pass
    tools.token_costabout 5,807 tokens to load every tool
  • pass
    tools.api_dumptools are not a one-to-one API dump
stability75 · weight 15
  • warn
    stability.changes20 tool changes in 30 days
  • pass
    stability.rug_pullno tool changed its meaning under the same name
dependenciesn/a · weight 15
  • n/a
    deps.known_vulns, deps.mcp_sdk_version, deps.resolvableno npm or PyPI package

13 tools, about 5,807 tokens to load them all · tool set 4e90e4b4f552 · tools last changed 2026-10-19 · checked 2026-10-20 17:02 UTC

Tool changes

  • find_peoplechangedinput schema
  • people_searchchangedinput schema
  • find_peoplechangedinput schema
  • people_searchchangedinput schema
  • find_peoplechangedinput schema
  • people_searchchangedinput schema
  • company_searchchangeddescription, input schema
    before

    Search a global company database in plain English (for example 'Series B fintech companies in London with 50-200 employees') and get matching companies with industry, size, location and website. Searching companies is FREE and spends 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.

    after · 73% of words in common

    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 is FREE and spends 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.

  • find_peoplechangedinput schema
  • people_searchchangedinput schema
  • company_searchchangeddescription
    before

    Search a global company database in plain English (for example 'Series B fintech companies in London with 50-200 employees') and get matching companies with industry, size, location and website. Searching companies is FREE and spends no credits.

    after · 64% of words in common

    Search a global company database in plain English (for example 'Series B fintech companies in London with 50-200 employees') and get matching companies with industry, size, location and website. Searching companies is FREE and spends 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.

Showing the latest 10. Full history: list_changes · trend: quality JSON.

Checks run on what our credential-free, read-only probes observe; tools are never called and no code audit is performed. How it is computed.

Trust 83 / 100

no-repository
provenance55
liveness100
freshness100
hygiene80

+dns-namespace +website +reachable +uptime-100% +updated-8d-ago -no-repository

Derived from observable signals (official registry feed and our own credential-free probes); no code audit performed. How it is computed.

Endpoints

remoteauthreachableuptime 30dp50protocollast ok
https://peoplesearch.im/api/mcp streamable-httpnoneyes100%360 ms2025-11-252026-10-20

Tools (13)

check_creditsread-onlyReturn 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.
company_searchread-onlySearch 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 is FREE and spends 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.
fetch_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 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.
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_linkedin_profile). Spends 2 credits, refunded if none are 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.
find_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 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`. Emails are NOT fetched here (that is a separate credit): after unlocking, call fetch_email with each person's `id` to get their verified work email. WARNING for autonomous use: this can spend up to `count` credits in a single call, so choose `count` deliberately and confirm with the user before large batches. Returns an out-of-credits error instead of overspending.
find_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 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.
lookup_companyTurn a LinkedIn company URL into firmographic data: industry, size, location and website. Spends 1 credit, refunded if the company cannot be retrieved.
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.
people_searchread-onlySearch 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 is FREE and spends no credits: use it to check that the right people come back before you pay, 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.
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, 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.
reverse_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.
verify_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.

Schemas: list_tools.

Similar MCP servers

Official server.json
{
  "name": "im.peoplesearch/email-finder",
  "title": "PeopleSearch.im",
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "remotes": [
    {
      "url": "https://peoplesearch.im/api/mcp",
      "type": "streamable-http",
      "headers": [
        {
          "name": "Authorization",
          "isSecret": true,
          "description": "Optional: your PeopleSearch.im API key (sk_sift_...) from https://peoplesearch.im/developers. Leave empty: searches work without an account a few times a day, and other tools sign in with OAuth."
        }
      ]
    }
  ],
  "version": "1.2.0",
  "websiteUrl": "https://peoplesearch.im/mcp",
  "description": "People search, LinkedIn lookup and verified work emails for AI agents. First search needs no login."
}