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Icp Fit Scorer

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Scores companies against a configurable Ideal Customer Profile using firmographic and signal data. Returns a weighted fit score with per-criterion breakdowns.

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Описание

Scores companies against a configurable Ideal Customer Profile using firmographic and signal data. Returns a weighted fit score with per-criterion breakdowns.

README

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

An MCP server that scores a company against your ideal customer profile. It wraps the Mamba Labs ICP Fit Scorer actor on Apify and returns a Clay-ready flat JSON row to any MCP client.

What's Inside

What it does

Give it a company domain and a definition of your ICP, and it scores the company on weighted signals, returning a 0 to 100 score, an A to D tier, and a per-signal breakdown. Define your ICP three ways: a prebuilt template, a JSON scoring config, or a plain-English description (which uses your own LLM key). Turn on fetch_signals and the actor will gather hiring and tech-stack signals for you before scoring. One flat row, ready for Clay, a CRM, or an AI agent workflow. All of the scoring runs on Apify. This package is a thin client that calls the actor and hands back the result.

Quick start

You need Node.js 18 or newer and an Apify account with an API token.

Add this to your Claude Desktop config:

{
  "mcpServers": {
    "mamba-icp-scorer": {
      "command": "npx",
      "args": ["-y", "@mambalabsdev/mcp-icp-fit-scorer"],
      "env": {
        "APIFY_TOKEN": "your-apify-token"
      }
    }
  }
}

Get your token at https://console.apify.com/account/integrations, paste it in, and restart Claude Desktop. The score_icp_fit tool will be available.

Prerequisites

  • Node.js 18 or newer
  • An Apify account with an API token

Example prompts

  • "Score clay.com against the b2b_saas template and fetch its signals."
  • "How well does stripe.com fit an ICP of mid-market fintech companies? Explain the score."
  • "Score figma.com with my scoring config and include the per-signal breakdown."
  • "Rate openai.com against this ICP description: enterprise AI teams hiring for go-to-market."

Inputs

  • company_domain (required): the primary domain of the company to score. Example: clay.com
  • company_name (optional): display name of the company.
  • template (optional): name of a prebuilt scoring config.
  • scoring_config (optional): a JSON object of scoring weights.
  • icp_description (optional): plain-English ICP description. Requires llm_api_key.
  • llm_api_key (optional): your OpenAI or Anthropic key, used only with icp_description.
  • llm_provider (optional): openai or anthropic.
  • fetch_signals (optional): let the actor gather hiring and tech-stack signals automatically.
  • include_explanation (optional): add a score_explanation string to the output.

Define your ICP with exactly one of template, scoring_config, or icp_description.

This server exposes the single-company scoring path. The actor also supports batch inputs (a dataset or CSV of companies) and a results webhook. For those, run the actor directly on Apify.

Output

The tool returns the actor's flat JSON row for the scored company, including icp_score (0 to 100), icp_tier (A to D), the per-signal breakdown, and an optional explanation. See the Apify Store page for the full output schema.

Example output

{
  "company_domain": "ramp.com",
  "icp_score": 87,
  "icp_tier": "A",
  "lead_tag": "priority",
  "score_hiring": 25,
  "score_tech_stack": 22,
  "score_headcount": 20,
  "score_funding": 20,
  "score_industry": 0,
  "run_date": "2026-05-28"
}

Features

  • User-defined JSON scoring config with custom weights
  • Returns icp_score (0 to 100), icp_tier (A to D), and lead_tag
  • Per-signal point breakdown: hiring, tech stack, headcount, funding, industry
  • Replaces 6+ manual formula columns in Clay

Full actor documentation

This server is a thin client and holds no scoring logic. For the complete input and output reference, pricing, and run history, see the Apify Store page:

https://apify.com/mambalabs/icp-account-lead-scoring-fit-scorer-0-100-for-clay


Mamba Labs GTM Suite

This server is part of the Mamba Labs GTM Suite, a fleet of twelve specialized MCP servers for go-to-market signal intelligence, each backed by a dedicated Apify actor.

Actor Immutable Actor ID
GTM Hiring Signal Scraper D7O1SA2EqwHGsGr1P
GTM Tech Stack Signal Enrichment qyd7nNyqFPelQViBx
GTM Signals Aggregator xKdRfnfFNkdMpFuNs
Job Board Keyword Signal Scanner 4DvqpvhMR74NLcDDY
Domain to LinkedIn URL Resolver 3HtnSaqPHOg1Qg5gx
ICP Fit Scorer W161DT8W4kW55dMFh
Domain Deliverability Checker 0tVgxI7A6o9jMlxmc
Company Firmographic Enricher YlUtLWjfPpqykmB8g
Company Social Presence Mapper 4k6CCemkgBDz18m2h
Company Identity Resolver lr8fTRAmZCBZmuwwh
Company Change-Event Feed oX44rS0fkEJ3rXLWe
Funding & Press Signal Scanner FS13X6dhQVgX3XOM6

Built by Mamba Labs | npm | Apify Store

License

MIT

Built by Mamba Labs. https://apify.com/mambalabs

from github.com/mambalabsdev/mcp-icp-fit-scorer

Установка Icp Fit Scorer

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/mambalabsdev/mcp-icp-fit-scorer

FAQ

Icp Fit Scorer MCP бесплатный?

Да, Icp Fit Scorer MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Icp Fit Scorer?

Нет, Icp Fit Scorer работает без API-ключей и переменных окружения.

Icp Fit Scorer — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Icp Fit Scorer в Claude Desktop, Claude Code или Cursor?

Открой Icp Fit Scorer на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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