mambalabsdev/mcp-icp-fit-scorer

Overview

MCP server that scores companies against an ideal customer profile using weighted signals from Apify. It returns a 0-100 score, a tier, and a per-signal breakdown. Output is formatted for direct use in Clay.

Best for

Best for
Early adopters needing automated ICP scoring with custom weighting

Use cases

• Score leads against custom ICP criteria
• Enrich CRM data with company fit scores
• Automate lead qualification in sales workflows

How to use

Tools exposed

• npx

Tested with

Claude Desktop

Example client config

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

Notes

MCP server that scores companies against an ideal customer profile using weighted signals from Apify. It returns a 0-100 score, a tier, and a per-signal breakdown. Output is formatted for direct use in Clay.

1 stars on GitHub. Last updated 2026-06-09. Licensed MIT.

Use cases

• Score leads against custom ICP criteria
• Enrich CRM data with company fit scores
• Automate lead qualification in sales workflows

Pros

• Provides a structured, weighted scoring system
• Integrates with Apify for real-time signal extraction
• Output is Clay-ready, reducing manual formatting

Cons

• Only 1 star on GitHub, indicating very early stage
• Depends on Apify, adding an external data dependency
• Requires an MCP client to run the server

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.