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Lead Scoring AI MCP

Lead Scoring AI - MCP server providing AI-powered tools and automation by MEOK AI Labs

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Documentation

MCP server for lead scoring ai mcp operations

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

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

pip install meok-lead-scoring-ai-mcp

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"]
    }
  }
}

from mcp.server.fastmcp import FastMCP

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