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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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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
