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Lead Scoring Ai Mcp

csoai-org/lead-scoring-ai-mcp

A B2B lead scoring tool that helps you track engagement and prioritize prospects. The documentation references EU AI Act compliance features like bias detection and transparency tooling, though the README doesn't spell out the specific MCP tools or resources exposed. You'd reach for this if you're building AI-assisted sales workflows and need structured lead evaluation, especially in regulated environments. MEOK AI Labs positions it as part of their broader governance-focused MCP ecosystem. The package installs via pip and runs over stdio transport. Light on implementation details, but the compliance angle suggests it's aimed at enterprise sales teams that need auditable scoring logic rather than quick prototyping.

tools
3
transport
STDIO
last updated
Aug 19, 2026
View on GitHub

Tools

3 tools

Public tool metadata for what this MCP can expose to an agent.

score_lead

No parameter schema in public metadata yet.

add_lead

No parameter schema in public metadata yet.

update_lead_activity

No parameter schema in public metadata yet.

Sponsors

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Readme

MCP Scorecard: 74/100

Lead Scoring Ai MCP

MEOK AI Labs GSPC License PyPI

B2B lead scoring with engagement tracking and prioritization

B2B lead scoring with engagement tracking and prioritization.

🚀 Quick Start

# Install via pip
pip install lead_scoring_ai_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install lead-scoring-ai-mcp --client claude

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

📖 Documentation

View the full README on GitHub

Details

Repository
github.com/csoai-org/lead-scoring-ai-mcp
Category
Sales & Marketing
Package
lead-scoring-ai-mcp
Transport
STDIO
Registry
MCP registry, active

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