Koskamo

Lead Scoring Ai MCP

An MCP server that exposes B2B lead scoring capabilities, including engagement tracking and prioritization. It is compliant with EU AI Act requirements such as risk management, transparency, and bias detection. The server supports easy installation via pip or Smithery and integrates with the MEOK ecosystem for sovereign AI governance.

Package and access

Local package with source-attributed installation metadata. Koskamo does not execute packages during review.

Lead Scoring Ai MCP logo, by MEOK AI LabsCommunity listingLocal stdioSource reviewed; not executedPublished by MEOK AI Labs
Vendor documentation

What you can do with it

  • Score B2B leads based on engagement data
  • Track lead engagement metrics
  • Prioritize leads for sales teams
  • Ensure EU AI Act compliance for AI models

Source and maintenance

Community listingRegistry 1.0.9MIT
Last repository push
Latest release
v1.0.8
Maintenance checked

Packages and installation

Source-provided package data. Koskamo has not executed or live-probed this package.

lead-scoring-ai-mcp 1.0.9

pypipython
lead-scoring-ai-mcp package definition
{
  "version": "1.0.9",
  "transport": "stdio",
  "identifier": "lead-scoring-ai-mcp",
  "runtimeHint": "python",
  "registryType": "pypi"
}

Tools

Reported by the attributed source; not independently observed by Koskamo.

No tool definitions available.

Maintenance history

Public check and source-refresh events. Editorial and ownership records remain private.

  • · repository · passed · metadata changed · updated
  • · backfill · recorded · Pre-expansion baseline; unobserved rich metadata remains unknown

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