com.mambabuilt/mcp-company-headcount-estimator
Employee count band for a company domain, with source and confidence. No LinkedIn login.
Installation
Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).
@mambalabsdev/mcp-company-headcount-estimatorclaude mcp add mcp-company-headcount-estimator -e 'APIFY_TOKEN=<your apify_token>' -- npx -y @mambalabsdev/mcp-company-headcount-estimator@1.0.0
{
"mcpServers": {
"mcp-company-headcount-estimator": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-company-headcount-estimator@1.0.0"
],
"env": {
"APIFY_TOKEN": "<your apify_token>"
}
}
}
}
Variables d'environnement
APIFY_TOKENobligatoire secret Apify API token from https://console.apify.com/account/integrations
Documentation
Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.
Sommaire
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
- Quick start
- Prerequisites
- Example prompts
- Tool
- Inputs
- Pricing
- Your keys
- Full actor documentation
- License
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.
| Input | Type | Description | |
|---|---|---|---|
domain | string | One company domain | |
company_name | string | The name for that one domain; empty reads it from the homepage | |
domains | array | Up to 500 domains; `Name \ | domain.com` passes the name |
sources | array | Any of linkedin, wikidata, homepage, github, jobs; empty means all | |
skip_cache | string | true or false. Default false; a row from the last 7 days comes back free | |
max_charge_usd | string | Optional 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.
| Event | Free plan | Bronze | Silver | Gold |
|---|---|---|---|---|
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.
Questions fréquentes
Qu'est-ce que com.mambabuilt/mcp-company-headcount-estimator ?
Employee count band for a company domain, with source and confidence. No LinkedIn login.
Comment installer com.mambabuilt/mcp-company-headcount-estimator ?
Il s'exécute sur votre machine. Dans 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. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.
Faut-il une clé API pour com.mambabuilt/mcp-company-headcount-estimator ?
Oui. Il attend APIFY_TOKEN, à renseigner dans sa configuration.
com.mambabuilt/mcp-company-headcount-estimator est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient com.mambabuilt/mcp-company-headcount-estimator ?
Il est publié par mambalabsdev. AI.tn le référence sans le maintenir ni le recommander.
Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.