Overview
What is MCP-Server-ClaudeDesktop?
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.
How to use MCP-Server-ClaudeDesktop?
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.
Key features of MCP-Server-ClaudeDesktop
- Automatically scores leads based on key data points
- View recent leads with a simple command
- Get instant AI insights to prioritize best leads
- Classifies leads as hot, warm, or cold
- Integrates seamlessly with Claude Desktop via MCP
Use cases of MCP-Server-ClaudeDesktop
- Scoring and qualifying incoming sales leads in real time
- Keeping your sales pipeline organized with recent lead views
- Quickly identifying high-priority leads for follow-up
- Reducing manual lead qualification effort
FAQ from MCP-Server-ClaudeDesktop
What data does it use to score a lead?
The server evaluates company size, budget, and intent score to determine lead quality.
What output does the system provide?
It returns a lead classification of hot, warm, or cold, along with an instant score.
How do I invoke the lead scoring feature?
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]."
Can I see my recent leads?
Yes, the server supports a quick command to view and organize recent leads in your pipeline.
