jagmarques/asqav-mcp

Overview

A Model Context Protocol server that enforces AI agent governance through quantum-safe audit trails, policy enforcement, and threat detection. It integrates with Claude Desktop, Cursor, and Claude Code to log and verify agent actions.

Best for

Best for
Developers needing auditable, policy-controlled AI agent interactions in regulated environments

Use cases

• Auditing AI agent actions with tamper-proof logs
• Enforcing usage policies on agent interactions
• Detecting anomalous or malicious agent behavior

Notes

A Model Context Protocol server that enforces AI agent governance through quantum-safe audit trails, policy enforcement, and threat detection. It integrates with Claude Desktop, Cursor, and Claude Code to log and verify agent actions.

5 stars on GitHub. Last updated 2026-05-31. Licensed MIT.

Use cases

• Auditing AI agent actions with tamper-proof logs
• Enforcing usage policies on agent interactions
• Detecting anomalous or malicious agent behavior

Pros

• Quantum-safe audit trails provide strong security guarantees
• Works with multiple popular AI coding tools
• Lightweight Python implementation with few dependencies

Cons

• Limited to MCP-compatible clients only
• Small community and few real-world deployments
• No built-in visualization or dashboard for audit logs

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.