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mcp-website-phrase-business-model-classifier

mcp-website-phrase-business-model-classifier

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github.com/mambalabsdevBusiness & Marketing0Updated 1d ago

About mcp-website-phrase-business-model-classifier

An MCP server that classifies companies from their public websites by B2B/B2C model, business category, and user-supplied phrases. Its fixed rules produce repeatable results and include quoted evidence and page references, making it suitable for supplier and company research.

Key features

  1. 01Classify B2B, B2C, or both
  2. 02Identify listed business categories
  3. 03Find custom phrases on websites
  4. 04Return quoted evidence and page references
  5. 05Use fixed rules rather than an LLM

Use cases

  1. 01Segment company lists by sales model
  2. 02Find suppliers mentioning a specific capability
  3. 03Review evidence for agency or SaaS classifications

MCP support

Exposes the classify_website tool to MCP clients. It starts an Apify actor run and returns the resulting dataset rows.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"com-mambabuilt-mcp-website-phrase-business-model-classifier": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-website-phrase-business-model-classifier"
],
"env": {
"APIFY_TOKEN": "<APIFY_TOKEN>"
}
}
}
}
Run commandnpx -y @mambalabsdev/mcp-website-phrase-business-model-classifier
Environment variables to set
APIFY_TOKENSecretApify API token from https://console.apify.com/account/integrations

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@mambalabsdev/mcp-website-phrase-business-model-classifier1.0.0

Tools

1

Saved tool list · updated 1w ago

ParameterTypeRequiredDescription
domainstringNoOne company domain, for example lodgecastiron.com.
domainsarrayNoCompany domains or website addresses, up to 500.
phrasesarrayNoYour buyer phrases to look for, for example clay agency or private label. Whole words, plurals included, case ignored; a hit inside a negation does not count. Up to 25.
max_pagesstringNoPages read per site, homepage included, 1 to 10. Default 6.
categoriesarrayNoBusiness categories to test. Empty means all seven.
proxy_modeenumNoauto (default) retries a refusing site through the Apify proxy at no extra cost; direct never uses a proxy.auto | direct
max_charge_usdstringNoOptional. The run stops before a charge would pass this amount.

Details

From the project README

Website Phrase and Business Model Classifier MCP Server

Smithery Glama score MCP Registry npm version npm downloads license mcpservers.org

An MCP server for the Mamba Labs Website Phrase and Business Model Classifier actor on Apify. Give it company domains. For each one it reads the homepage and up to 5 pages it links to, and returns one row: B2B, B2C, or both; whether the site presents itself as SaaS, an online store, an agency, a manufacturer, a wholesaler, a distributor, or a marketplace; and whether your own phrases appear, with the quoted text and the page as evidence.

What's Inside

What it does

The rules are fixed and written out, not a language model, so the same pages always give the same answer. A site that does not say enough comes back unknown. A hit inside a negation ("we are not an agency") never counts. Unreachable, blocked, robots.txt disallowed, and empty sites come back free with a row_status saying so. 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-website-phrase-business-model-classifier": {
      "command": "npx",
      "args": [
        "-y",
        "@mambalabsdev/mcp-website-phrase-business-model-classifier"
      ],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Restart the client. The classify_website tool appears.

Prerequisites

Example prompts

  • "Which of these 40 domains are agencies, and which of them say they are a Clay agency?"
  • "Split this store list into B2B and B2C and show me the evidence for each."
  • "Do any of these suppliers say they do private label?"

Tool

classify_website. One tool. Example arguments:

{
  "domains": ["lodgecastiron.com", "hubspot.com"],
  "phrases": ["cast iron", "private label"]
}

Inputs

Every buyer facing input of the actor, unchanged. Omitted inputs take the actor's own defaults. Numbers are sent as strings.

InputTypeDescription
domainsarrayCompany domains, up to 500
domainstringOne domain
phrasesarrayYour buyer phrases, up to 25
categoriesarrayAny of saas, ecommerce, agency, manufacturer, wholesaler, distributor, marketplace; empty means all
max_pagesstringPages per site, 1 to 10. Default 6
max_charge_usdstringOptional cost cap for the run
proxy_modestringauto (default) or direct

Pricing

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

EventFree planBronzeSilverGold
domain-classified, per domain read and classified$0.0045$0.004275$0.00405$0.003825
apify-actor-start, per run start$0.0005$0.0005$0.0005$0.0005

Unreachable, blocked, robots.txt disallowed, empty, and error rows are free.

Your keys

The actor needs no key and holds none. It reads the company's own public web pages. Proxy traffic adds nothing to your price: Mamba Labs pays the platform costs of the run.

Full actor documentation

apify.com/mambalabs/website-phrase-business-model-classifier

License

MIT. See LICENSE.

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