Overview

Lead Scoring Ai MCP provides AI-powered tools via the Model Context Protocol (MCP).

Tools

Tool	Description
score_lead	Score a lead based on firmographic data
add_lead	Add a new lead to tracking
update_lead_activity	Record lead activity
get_lead_score	Get current score for a lead
get_all_leads	Get all leads with scores
get_lead_activities	Get activity history for a lead
get_lead_timeline	Get engagement timeline for a lead
predict_conversion	Predict conversion probability
get_priority_leads	Get leads by priority threshold
track_engagement_trend	Get engagement trend over time

Installation

pip install meok-lead-scoring-ai-mcp

Usage with Claude Desktop

Add to your Claude Desktop MCP config (claude_desktop_config.json):

{
  "mcpServers": {
    "lead-scoring-ai": {
      "command": "python",
      "args": ["-m", "meok_lead_scoring_ai_mcp.server"]
    }
  }
}

Usage with FastMCP

from mcp.server.fastmcp import FastMCP

# This server exposes 10 tool(s) via MCP
# See server.py for full implementation

License

MIT © MEOK AI Labs