Mcp Lookalike Company Finder

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

Companies similar to seed domains, ranked by a 0 to 100 similarity score with evidence.

发布方自己的服务:Finder Jobs

概览

AI 生成的概览

根据一到十个种子域名查找相似公司,按 0 到 100 的相似度评分排序,并给出评分依据。

可以做什么
  • 根据一到十个种子域名查找相似公司,可指定排除域名
  • 按 0 到 100 的相似度评分排序,并返回评分明细作为依据
  • 可设置结果数量上限、最低分数和可选的费用上限
  • 可选启用子任务附加检查:商业模式分类、Reddit 共同提及、应用市场重合度
适用场景
适合销售或市场调研场景:以最佳客户或竞争对手为种子生成潜在客户名单,并希望看到每家公司被匹配的原因,而不只是一份名单。
运行要求
通过 npx 在本地运行,需要 Node.js 18 或更高版本。需要 Apify 账户,并通过环境变量 APIFY_TOKEN 提供 Apify API 令牌;无令牌时工具仍会列出,但调用需要令牌。全部工作在 Apify 上执行,需要网络访问。
安装前请注意
运行按事件计费并计入你的 Apify 账户:每个返回公司收费,另加每次运行启动费;可选的子任务按其自身价格计费。可用 max_charge_usd 设置费用上限。APIFY_TOKEN 是可访问你 Apify 账户的密钥。

安装

在 SourceWeft 中

  1. 打开 控制台中的 Mcp Lookalike Company Finder,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

Lookalike Company Finder MCP Server

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

[Lookalike Company Finder MCP server]

An MCP server for the Mamba Labs Lookalike Companies from Seed Domains 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

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:

json
{  "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

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:

json
{  "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.

InputTypeDescription
seed_domainsarrayOne to ten seed company domains
seed_domainstringOne seed domain
max_resultsstring1 to 100. Default 25
min_scorestring0 to 100. Default 20
use_classifierstringBusiness model check, child run. Default true
classify_top_nstring1 to 50. Default 15
use_redditstringReddit co-mentions, child run. Default false
use_marketplacesstringMarketplace overlap, child run. Default false
exclude_domainsarrayDomains never to return
max_charge_usdstringOptional cost cap for the run

Pricing

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

EventFree planBronzeSilverGold
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.

来源:README.md,提交 a03606e

工具

1

find_lookalike_companies

Find lookalike companies

Find companies similar to one to ten seed company domains (your best customers or a competitor). Returns lookalike companies ranked by a 0 to 100 similarity score with the evidence: score_breakdown_json (shared homepage words, search mentions, named in a comparison, shared tools, business model match, Reddit co-mention, shared marketplaces), found_via, shared_keywords, tech_detected, has_pricing_page, and homepage title, plus one free seed summary row. Candidates come from alternatives, vs, and competitors search result pages and the products list articles name; review sites, list articles, and media are never returned. use_classifier (default true), use_reddit, and use_marketplaces start Mamba Labs actors as child runs that Apify bills to your account at their own prices. A run that does not succeed is returned as an error with its run ID. Read-only; requires an APIFY_TOKEN; Apify charges per lookalike company returned.

输入参数min_scoreuse_redditmax_resultsseed_domainseed_domainsclassify_top_nmax_charge_usduse_classifierexclude_domainsuse_marketplaces

版本历史

2
  1. v1.0.1最新Nov 5, 2026
  2. v1.0.0Oct 26, 2026

评分

已满足适用检查项的 90%

该评分衡量此收录条目的完整程度,依据注册中心条目、端点与公开来源计算得出。它不是对服务器本身的评价,也不表示服务器安全或当前可用:可连通性是带日期的检查结果,评分也不包含安装量或用户评价。

  • 近 30 天内可连通25 分
  • 已声明认证方式10 分

    请在注册中心条目中声明凭据请求头,或保持端点能够响应探测,以便判定其认证方式。

  • 已列出工具必需15 分
  • 描述必需15 分
  • 图标10 分
  • 文档15 分
  • 许可证10 分

其他 Finder 集成