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io.github.CSOAI-ORG/lead-scoring-ai-mcp

Official10 tools

by CSOAI-ORG · Python

Lead Scoring Ai MCP Server by MEOK AI Labs

io.github.CSOAI-ORG/lead-scoring-ai-mcp (MCP Server)

This Model Context Protocol (MCP) server provides “Lead Scoring Ai” functionality attributed to MEOK AI Labs. It is packaged as lead_scoring_ai_mcp (PyPI install listed) and is described with B2B lead scoring. The repository includes a MIT license and an MCP Scorecard badge (74/100), indicating server evaluation metadata.

🛠️ Key Features

  • Lead Scoring Ai MCP server (10 tools)
  • Topics include: mcp, agentic-ai, ai-agents, claude, compliance, ai-governance, model-context-protocol
  • MIT license referenced in the readme excerpt
  • MCP Scorecard referenced (74/100)

🚀 Use Cases

  • B2B lead scoring workflows
  • Agentic AI or AI agent integrations in a Model Context Protocol setup

⚡ Developer Benefits

  • Model Context Protocol compatibility (model-context-protocol topic)
  • Tooling available via the server (toolCount: 10)
  • Installable via PyPI (badge shown)

⚠️ Limitations

  • Public description excerpt is truncated (“B2B lead scoring with en”), so detailed behavior and tool specifics are not included here.

Topics

mcpmeok-ai-labsmcp-serverai-governancemodel-context-protocolagentic-aimeokai-agentsclaudecompliancecsoai