lead-scoring-ai-mcp 1.0.6

Lead Scoring Ai tools for AI agents. Capabilities: score lead, add lead, update lead activity. Built by MEOK AI Labs.

Lead Scoring Ai MCP

MCP server for lead scoring ai mcp operations

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

---

Pairs with MEOK Governance Suite

Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.

# One-shot install of the governance pack
npx meok-setup --pack governance

Free tier: 10 calls/day per MCP. Pro tier (£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.

→ Full catalogue: councilof.ai/catalogue → MEOK AI Labs: meok.ai