mcpField
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mcp-person-linkedin-url-resolver

mcp-person-linkedin-url-resolver

Local
github.com/mambalabsdevBusiness & Marketing0Updated 1w ago

About mcp-person-linkedin-url-resolver

An Apify-backed MCP server that finds a person's LinkedIn profile URL from their name and company. It uses Google results and returns match confidence without opening LinkedIn or requiring a LinkedIn account.

Key features

  1. 01Profile URL lookup by name and company
  2. 02Match confidence and status
  3. 03Company relationship classification
  4. 04Headline and follower count from Google
  5. 05Filters out non-profile URLs

Use cases

  1. 01Find a contact's LinkedIn profile
  2. 02Resolve profile URLs for CRM records
  3. 03Distinguish current and former company matches

MCP support

Exposes the `resolve_person_linkedin_url` tool to MCP clients. It starts the Apify actor, waits for completion, and returns dataset rows.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"com-mambabuilt-mcp-person-linkedin-url-resolver": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-person-linkedin-url-resolver"
],
"env": {
"APIFY_TOKEN": "<APIFY_TOKEN>"
}
}
}
}
Run commandnpx -y @mambalabsdev/mcp-person-linkedin-url-resolver
Environment variables to set
APIFY_TOKENSecretApify API token from https://console.apify.com/account/integrations

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@mambalabsdev/mcp-person-linkedin-url-resolver1.0.0

Tools

1

Saved tool list · updated 6d ago

ParameterTypeRequiredDescription
countrystringNoTwo letter Google country code. Default us.
personsarrayNoSeveral persons, one per line as Full Name | company.com | job title. Up to 500.
keywordsstringNoOptional extra words for the Google query.
locationstringNoOptional city or country. A small boost when the snippet agrees.
full_namestringNoThe person's first and last name, for example Armon Dadgar.
job_titlestringNoOptional. A headline that agrees gets a small boost.
company_namestringNoOptional. The company name as people write it, used instead of the word in the domain.
company_domainstringNoThe company domain, for example hashicorp.com. Give this or company_name.
max_charge_usdstringNoOptional. The run stops before a charge that would pass this amount.
allow_name_onlyenumNotrue searches a person with no company; such a row is never found, only ambiguous. Default false.true | false

Details

From the project README

Person LinkedIn URL Resolver MCP Server

Smithery Glama score MCP Registry npm version npm downloads license mcpservers.org

Give it a person's name and company domain (or company name). Each run reads Google result pages through the Apify Google SERP proxy and returns one row per person with the LinkedIn profile URL, the headline and follower count Google shows, and a match confidence. It never opens LinkedIn and needs no LinkedIn account.

What's Inside

What it does

  • match_status is found at a confidence of 0.8 or more with a clear lead over every other profile, ambiguous (the likely URL), not_found, or blocked.
  • company_match says whether the company is current (headline or a present role), former (marked prev, ex, or former), or only mentioned.
  • Posts, articles, and directory pages are dropped; only /in/ profile URLs are returned.

All of the work runs on Apify. This package is a thin client that starts the actor run, waits for it, and hands back the dataset rows.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config (claude_desktop_config.json), Cursor, or any MCP client:

{
  "mcpServers": {
    "mamba-person-linkedin-url-resolver": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-person-linkedin-url-resolver"
      ],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Restart the client. The resolve_person_linkedin_url tool appears.

Prerequisites

Example prompts

  • "Find the LinkedIn profile of Armon Dadgar at hashicorp.com."
  • "Here are 20 names and company domains from my CRM. Find each LinkedIn URL and tell me which ones are certain."

Tool

resolve_person_linkedin_url. One tool. Example arguments:

{ "full_name": "Armon Dadgar", "company_domain": "hashicorp.com" }

Inputs

Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults.

InputTypeDescription
full_namestringFirst and last name
company_domainstringThe company domain; give this or company_name
company_namestringOptional company name
job_titlestringOptional; a small boost when the headline agrees
locationstringOptional; a small boost when the snippet agrees
keywordsstringOptional extra query words
personsarrayUp to 500 lines as Full Name | company.com | job title
countrystringGoogle country code. Default us
allow_name_onlystringtrue searches without a company; never found
max_charge_usdstringOptional cost cap for the run

Pricing

Pay per event on Apify, billed to your Apify account. Prices in USD.

EventFree planBronzeSilverGold
person-searched, per input person$0.035$0.03325$0.0315$0.02975
apify-actor-start, per run start$0.0005$0.0005$0.0005$0.0005

found, ambiguous, and not_found rows each cost one person-searched. blocked and error rows are free. The actor reads at most 2 Google result pages per person.

Your keys

The actor needs no key and holds none. Mamba Labs pays the platform costs of the run, Google SERP proxy traffic included.

Full actor documentation

apify.com/mambalabs/person-linkedin-url-resolver

License

MIT. See LICENSE.

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