Mcp Company Headcount Estimator

com.mambabuilt由 mambabuilt.com 发布v1.0.1更新于 Nov 7, 2026

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

概览

AI 生成的概览

根据公司网站域名估算员工人数区间,并通过 Apify 返回数据来源、置信度和辅助信息。

可以做什么
  • 估算单个域名或最多 500 个域名的员工人数区间
  • 返回区间上下限、来源给出的精确人数、估算来源、0 到 1 的置信度以及各来源是否一致
  • 无数据的行以 no_data 状态免费返回
  • 附带 GitHub 公开成员数和在招职位作为参考
  • 可指定使用哪些来源(LinkedIn 搜索结果摘要、Wikidata、官网、GitHub、职位),并可设置运行费用上限
适用场景
适合需要快速了解公司规模以进行线索筛选、市场调研,或按人数区间过滤一批域名的场景,且无需登录 LinkedIn。
运行要求
以 npm 包形式通过 npx 在本机运行,需要 Node.js 18 或更高版本。需要 Apify 账号,并在 APIFY_TOKEN 环境变量中提供 Apify API 令牌;无令牌时工具仍会列出,但调用需要令牌。可选的 GITHUB_TOKEN 可提高大批量时 GitHub 成员数的限额。需要访问 Apify 的网络连接。
安装前请注意
调用按事件计入你的 Apify 账号费用:每个返回人数区间的行收费,另有每次运行启动的小额费用;缓存行、无数据行和错误行免费。APIFY_TOKEN 是付费账号凭据,应妥善保管。结果是带置信度的估算值而非核实数据,且服务器会把域名发送给 Apify 处理。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Company Headcount Estimator,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源: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.

输入参数domaindomainssourcesskip_cachecompany_namemax_charge_usd

版本历史

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

评分

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