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Scores a company against your ICP with weighted signals. Returns score, tier, and breakdown.
Scores a company against your ICP with weighted signals. Returns score, tier, and breakdown.
This is a well-structured MCP server that acts as a thin client to Apify's ICP Fit Scorer actor. Authentication is properly required via APIFY_TOKEN environment variable, input validation uses Zod schemas, and the server has appropriate error handling for API failures. Permissions are appropriate for its purpose (network HTTP calls to Apify, environment variable access). Minor concerns include passing user-provided LLM API keys to a third-party service and lack of explicit input sanitization for the scoring_config parameter, but these are low-severity for the server's use case. Supply chain analysis found 3 known vulnerabilities in dependencies (0 critical, 3 high severity). Package verification found 1 issue.
3 files analyzed · 8 issues found
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This plugin requests these system permissions. Most are normal for its category.
Set these up before or after installing:
Environment variable: APIFY_TOKEN
Add this to your MCP configuration file:
{
"mcpServers": {
"com-mambabuilt-mcp-icp-fit-scorer": {
"env": {
"APIFY_TOKEN": "your-apify-token-here"
},
"args": [
"-y",
"@mambalabsdev/mcp-icp-fit-scorer"
],
"command": "npx"
}
}
}From the project's GitHub README.
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.
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.
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.
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. 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.
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.
{
"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"
}
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
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
MIT
Built by Mamba Labs. https://apify.com/mambalabs
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