Icp Fit Scorer
What is ICP Fit Scorer?
ICP Fit Scorer is an MCP server that scores any company against your ideal customer profile and returns a 0 to 100 score, a tier (A/B/C), and per-signal reasoning. You can define your ICP using a template, a JSON weights config, or a plain-English description. It replaces six or more manual formula columns in Clay with a single enrichment step.
How to use ICP Fit Scorer?
Pass a company domain along with your ICP definition (template, weights config, or plain-English description). The server evaluates the company against your criteria and returns a scored, tiered result with reasoning. Configure it with your Apify token in the server config.
Key features of ICP Fit Scorer
- Flexible ICP input: template, JSON weights, or plain-English description
- 0 to 100 score with A/B/C tier classification
- Per-signal breakdown explaining what matched and what did not
- Flat JSON output ready for Clay column mapping
- Replaces manual formula columns with a single enrichment call
Use cases of ICP Fit Scorer
- Account qualification: score inbound leads against your ICP instantly
- List prioritization: tier your entire prospect list so reps work the right accounts first
- Automated routing: use the score to trigger different sequences by tier
- Clay enrichment: add an ICP score and tier column to any Clay table
FAQ from ICP Fit Scorer
How do I define my ICP? Three ways: pick a built-in template, provide a JSON config with weights per signal, or write a plain-English description of your ideal customer.
What signals does it evaluate? Depends on your config. Common signals include company size, industry, tech stack, hiring activity, geography, and funding stage.
Do I need an Apify account? Yes. The server runs on Apify infrastructure. You need an Apify token, which you can get from a free Apify account.
Can I use this with Clay? Yes. The output is a flat JSON row with score, tier, and reasoning columns.
Part of the Mamba Labs signal toolkit. See the full suite: https://github.com/mambalabsdev/mcp-gtm-suite.
Server Config
{
"mcpServers": {
"mamba-icp": {
"command": "npx",
"args": [
"-y",
"@mambalabsdev/mcp-icp-fit-scorer"
],
"env": {
"APIFY_TOKEN": "your-apify-token"
}
}
}
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