Mcp Company Headcount Estimator

com.mambabuilt由 mambabuilt.com 發布v1.0.1更新於 Nov 7, 2026

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

概覽

AI 產生的概覽

依公司網站網域估算員工人數區間,並透過 Apify 回傳資料來源、信心分數與輔助資訊。

可以做什麼
  • 估算單一網域或最多 500 個網域的員工人數區間
  • 回傳區間上下限、來源提供的確切人數、估算來源、0 到 1 的信心分數,以及各來源是否一致
  • 沒有資料的列以 no_data 狀態免費回傳
  • 附上 GitHub 公開成員數與職缺作為參考
  • 可指定採用哪些來源(LinkedIn 搜尋結果摘要、Wikidata、官網、GitHub、職缺),並可設定單次執行費用上限
適用情境
適合需要快速掌握公司規模以進行名單篩選、市場調查,或依人數區間過濾一批網域的情況,且不必登入 LinkedIn。
執行需求
以 npm 套件形式透過 npx 在使用者電腦本機執行,需要 Node.js 18 或更新版本。需要 Apify 帳號,並在 APIFY_TOKEN 環境變數中提供 Apify API 權杖;沒有權杖時工具仍會列出,但呼叫時必須要有。選用的 GITHUB_TOKEN 可提高大批次時 GitHub 成員數的限額。需要連線至 Apify 的網路。
安裝前請注意
呼叫會依事件計費到你的 Apify 帳號:每個回傳人數區間的列會收費,另有每次執行啟動的小額費用;快取列、無資料列與錯誤列免費。APIFY_TOKEN 是付費帳號憑證,應妥善保管。結果是附信心分數的估算值,並非查核過的數據,且伺服器會將網域送往 Apify 處理。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Mcp Company Headcount Estimator,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

Company Headcount Estimator MCP Server

[Glama score] [MCP Registry] [npm version] [npm downloads] [license] [mcpservers.org]

[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:

json
{  "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:

json
{  "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.

來源:README.md,提交 f0230fc

工具

1

estimate_company_headcount

Estimate company headcount

Estimate the employee count band of a company from its website domain. Give domain (for example linear.app) or domains (up to 500, one per item, Name | domain.com to pass a name). Each domain returns one row: employee_band (1-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, or 10001+), employee_band_min and employee_band_max, an exact employee_count when Wikidata or the homepage gives one, estimate_source (linkedin_search_snippet: the LinkedIn company size as Google prints it in its results, matched by the website the result shows; wikidata; or homepage_structured_data), a 0 to 1 confidence, sources_agree, and context columns (GitHub public members, open jobs). No request goes to linkedin.com. Rows with no size come back free with row_status no_data. A run that does not succeed is returned as an error with its run ID. Read-only; requires an APIFY_TOKEN; Apify charges per estimated company.

輸入參數domaindomainssourcesskip_cachecompany_namemax_charge_usd

版本歷史

2
  1. v1.0.1最新Nov 5, 2026
  2. v1.0.0Oct 22, 2026

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