What data does it use to score a lead?
The server evaluates company size, budget, and intent score to determine lead quality.
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An AI-powered Lead Scoring Assistant built for Claude using the Model Context Protocol (MCP). It scores and qualifies leads automatically based on company size, budget, and intent data, helping sales teams prioritize follow-ups.
Install the MCP server and configure it with Claude Desktop. Then prompt Claude with a lead’s details (e.g., "Score the lead from Acme Industries, a manufacturing company with 5000 employees, a $100k budget, and an intent score of 90") to receive an instant score (hot, warm, or cold). You can also use a quick command to view recent leads and organize your pipeline.
The server evaluates company size, budget, and intent score to determine lead quality.
It returns a lead classification of hot, warm, or cold, along with an instant score.
Simply ask Claude a question in the format: "Score the lead from [Company Name], a [industry] with [number] employees, a [budget] budget, and an intent score of [number]."
Yes, the server supports a quick command to view and organize recent leads in your pipeline.
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