Icp Fit Scorer
БесплатноНе проверенScores companies against a configurable Ideal Customer Profile using firmographic and signal data. Returns a weighted fit score with per-criterion breakdowns.
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
- Quick start
- Prerequisites
- Example prompts
- Inputs
- Output
- Example output
- Features
- Full actor documentation
- Mamba Labs GTM Suite
- License
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.comcompany_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. Requiresllm_api_key.llm_api_key(optional): your OpenAI or Anthropic key, used only withicp_description.llm_provider(optional):openaioranthropic.fetch_signals(optional): let the actor gather hiring and tech-stack signals automatically.include_explanation(optional): add ascore_explanationstring 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
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-scorerFAQ
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.
Похожие MCP
GitHub
PRs, issues, code search, CI status
автор: GitHubFilesystem
Secure file operations with configurable access controls.
Memory
Knowledge graph-based persistent memory system.
Template MCP Server
A CLI tool to create a new Model Context Protocol server project with TypeScript support, dual transport options, and an extensible structure
автор: mcpdotdirectCompare Icp Fit Scorer with
Не уверен что выбрать?
Найди свой стек за 60 секунд
Автор?
Embed-бейдж для README
Похожее
Все в категории development
