com.mambabuilt/mcp-lookalike-company-finder
Companies similar to seed domains, ranked by a 0 to 100 similarity score with evidence.
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-lookalike-company-finderclaude mcp add mcp-lookalike-company-finder -e 'APIFY_TOKEN=<your apify_token>' -- npx -y @mambalabsdev/mcp-lookalike-company-finder@1.0.0
{
"mcpServers": {
"mcp-lookalike-company-finder": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-lookalike-company-finder@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
Lookalike Company Finder MCP Server
An MCP server for the Mamba Labs Lookalike Company Finder actor on Apify. Give it seed company domains. Each run returns similar companies ranked by a similarity score, with the evidence behind each score.
What's Inside
- What it does
- Quick start
- Prerequisites
- Example prompts
- Tool
- Inputs
- Pricing
- Your keys
- Full actor documentation
- License
What it does
Candidates come from the seed's "alternatives", "vs", and "competitors" search result pages and from the products list articles name, matched to their own sites. Each candidate homepage is read and compared with the seeds: shared distinctive words, search mentions, whether a comparison names it, and shared tools. Optional checks start Mamba Labs actors as child runs: Website Phrase and Business Model Classifier (on by default), B2B Reddit Conversation Monitor, and Integration and Marketplace Presence Mapper; Apify bills each to your account at its own prices. Review sites, list articles, and media are never 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-lookalike-company-finder": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-lookalike-company-finder"
],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
}
Restart the client. The find_lookalike_companies 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.
Example prompts
- "Find 25 companies similar to smartlead.ai and instantly.ai, best match first."
- "Which companies look like gong.io? Show why each one ranks where it does."
- "Build a lookalike list from my three best customers, excluding mycompany.com."
Tool
find_lookalike_companies. One tool. Example arguments:
{
"seed_domains": [
"smartlead.ai"
],
"max_results": "25"
}
Inputs
Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults. Numbers and booleans are sent as strings.
| Input | Type | Description |
|---|---|---|
seed_domains | array | One to ten seed company domains |
seed_domain | string | One seed domain |
max_results | string | 1 to 100. Default 25 |
min_score | string | 0 to 100. Default 20 |
use_classifier | string | Business model check, child run. Default true |
classify_top_n | string | 1 to 50. Default 15 |
use_reddit | string | Reddit co-mentions, child run. Default false |
use_marketplaces | string | Marketplace overlap, child run. Default false |
exclude_domains | array | Domains never to return |
max_charge_usd | string | Optional cost cap for the run |
Pricing
Pay per event on Apify, billed to your Apify account. Prices in USD.
| Event | Free plan | Bronze | Silver | Gold |
|---|---|---|---|---|
lookalike-company, per company returned | $0.005 | $0.00475 | $0.0045 | $0.00425 |
apify-actor-start, per run start | $0.0005 | $0.0005 | $0.0005 | $0.0005 |
The seed summary row, no results rows, and error rows are free. The optional checks start Mamba Labs actors from your Apify account, billed at their own prices: Website Phrase and Business Model Classifier per domain classified, B2B Reddit Conversation Monitor per thread and summary row, Integration and Marketplace Presence Mapper per listing found.
Your keys
The actor needs no key. It reads search result pages and company homepages through the Apify proxy and holds no key of any kind. Mamba Labs pays the platform and proxy costs of this actor's own run; child runs are billed by their own actors.
Full actor documentation
apify.com/mambalabs/lookalike-company-finder
License
MIT. See LICENSE.
Questions fréquentes
Qu'est-ce que com.mambabuilt/mcp-lookalike-company-finder ?
Companies similar to seed domains, ranked by a 0 to 100 similarity score with evidence.
Comment installer com.mambabuilt/mcp-lookalike-company-finder ?
Il s'exécute sur votre machine. Dans Claude Code : claude mcp add mcp-lookalike-company-finder -e 'APIFY_TOKEN=<your apify_token>' -- npx -y @mambalabsdev/mcp-lookalike-company-finder@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-lookalike-company-finder ?
Oui. Il attend APIFY_TOKEN, à renseigner dans sa configuration.
com.mambabuilt/mcp-lookalike-company-finder est-il open source ?
Oui. Son code est sur GitHub sous licence MIT.
Qui maintient com.mambabuilt/mcp-lookalike-company-finder ?
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.