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HiveAudit Readiness

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by srotzin · JavaScript

Multi-jurisdictional AI compliance readiness scoring with sourced penalty math.

Multi-jurisdictional AI compliance readiness scoring with sourced penalty math. This MCP server evaluates models against diverse regulatory frameworks, producing readiness scores powered by penalty-based calculations and sourced data. It aggregates guidance across acts and standards to support policy-aligned model-context decisions.

🛠️ Key Features

  • MCP-based context evaluation for AI models
  • Readiness scoring with sourced penalty math
  • Topics include agent-commerce, hive-civilization, mcp, model-context-protocol, x402
  • Readme excerpt highlights health endpoint and centralized presentation

🚀 Use Cases

  • Compliance readiness assessment for multi-jurisdictional models
  • Policy-aligned model-context decisions based on penalty scoring
  • Transparency for governance reviews and regulatory filings

⚡ Developer Benefits

  • Clear MCP structure and server metadata for cataloging
  • Lightweight readme excerpts and health endpoint reference
  • Grounding in project topics for discoverability

⚠️ Limitations

  • Source data provided is partial; grounded text reflects available fields only
  • No guarantee of real-time regulatory coverage beyond listed acts

Topics

agent-commercehive-civilizationmcpmodel-context-protocolx402

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