com.mambabuilt/mcp-company-headcount-estimator

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Employee count band for a company domain, with source and confidence. No LinkedIn login.

Install

Add this to your client's MCP configuration (Claude Desktop: claude_desktop_config.json; Cursor: .cursor/mcp.json; VS Code and others use the same "mcpServers" shape).

NPM package @mambalabsdev/mcp-company-headcount-estimator
Claude Code
claude mcp add mcp-company-headcount-estimator -e 'APIFY_TOKEN=<your apify_token>' -- npx -y @mambalabsdev/mcp-company-headcount-estimator@1.0.0
JSON configuration (Claude Desktop, Cursor, VS Code)
{
    "mcpServers": {
        "mcp-company-headcount-estimator": {
            "command": "npx",
            "args": [
                "-y",
                "@mambalabsdev/mcp-company-headcount-estimator@1.0.0"
            ],
            "env": {
                "APIFY_TOKEN": "<your apify_token>"
            }
        }
    }
}

Environment variables

  • APIFY_TOKEN required secret Apify API token from https://console.apify.com/account/integrations

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Company Headcount Estimator MCP Server
  2. What's Inside
  3. What it does
  4. Quick start
  5. Prerequisites
  6. Example prompts
  7. Tool
  8. Inputs
  9. Pricing
  10. Your keys
  11. Full actor documentation
  12. License

Company Headcount Estimator MCP Server

An MCP server for the Mamba Labs Company Headcount Estimator actor on Apify. Give it a company domain or a list. Each domain returns an employee count band with the source it came from and a confidence score.

What's Inside

What it does

For each domain the actor reads, in order: the LinkedIn company size as Google prints it in its search results (a result counts only when it shows the domain as the company website; no request goes to linkedin.com), the employee count on Wikidata for the item whose official website is the domain, and the numberOfEmployees the homepage declares. It returns employee_band, employee_band_min, employee_band_max, an exact employee_count when a source gives one, estimate_source, confidence (0 to 1), and sources_agree, plus GitHub public members and open jobs as context. Rows with no size come back free with row_status no_data.

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-company-headcount-estimator": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-company-headcount-estimator"
      ],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Restart the client. The estimate_company_headcount tool appears.

Prerequisites

  • Node.js 18 or newer.
  • An Apify API token from console.apify.com/account/integrations, set as APIFY_TOKEN. The server lists its tool without a token; a call needs one.
  • Optional: GITHUB_TOKEN, your own free GitHub token, for GitHub member counts on large batches.

Example prompts

  • "How many employees does linear.app have?"
  • "Estimate the headcount band for these 20 domains and keep only the ones with 51 to 500 staff."
  • "Which of these companies have more than 1,000 employees, and how sure is each answer?"

Tool

estimate_company_headcount. One tool. Example arguments:

{
  "domains": ["Linear | linear.app", "posthog.com", "clay.com"]
}

Inputs

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

InputTypeDescription
domainstringOne company domain
company_namestringThe name for that one domain; empty reads it from the homepage
domainsarrayUp to 500 domains; `Name \domain.com` passes the name
sourcesarrayAny of linkedin, wikidata, homepage, github, jobs; empty means all
skip_cachestringtrue or false. Default false; a row from the last 7 days comes back free
max_charge_usdstringOptional cost cap for the run

The actor's github_token input is filled from this server's GITHUB_TOKEN environment variable when it is set.

Pricing

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

EventFree planBronzeSilverGold
company-estimated, per row with an employee band$0.036$0.0342$0.0324$0.0306
apify-actor-start, per run start (one per GB of run memory)$0.0015$0.0015$0.0015$0.0015

No data, invalid input, error, and cached rows are free.

Your keys

The actor needs no key. A GitHub token is optional and only raises the GitHub limit for member counts. Proxy traffic and Google result pages add nothing to your price: Mamba Labs pays the platform costs of the run.

Full actor documentation

apify.com/mambalabs/company-headcount-estimator

License

MIT. See LICENSE.

Frequently asked questions

What is com.mambabuilt/mcp-company-headcount-estimator?

Employee count band for a company domain, with source and confidence. No LinkedIn login.

How do I install com.mambabuilt/mcp-company-headcount-estimator?

It runs on your machine. In Claude Code: claude mcp add mcp-company-headcount-estimator -e 'APIFY_TOKEN=<your apify_token>' -- npx -y @mambalabsdev/mcp-company-headcount-estimator@1.0.0. For other clients, paste the JSON configuration from this page into their MCP settings.

Does com.mambabuilt/mcp-company-headcount-estimator need an API key?

Yes. It expects APIFY_TOKEN, which you set in its configuration.

Is com.mambabuilt/mcp-company-headcount-estimator open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains com.mambabuilt/mcp-company-headcount-estimator?

It is published by mambalabsdev. AI.tn lists it but does not maintain or endorse it.

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