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Aegis Policy

io.github.evozim/aegis-policy

This is a governance layer for AI agent swarms that acts as a policy enforcement point. Think of it as a firewall that sits between your AI agents and their actions, checking decisions against configurable safety rules and organizational policies before letting them execute. You'd reach for this when you're running multiple autonomous agents and need centralized guardrails to prevent them from taking actions outside acceptable boundaries. The oracle pattern means agents query it for permission rather than embedding policy logic in each agent. Useful for enterprise deployments where compliance, safety constraints, or multi-agent coordination rules need to be enforced consistently across a fleet of AI workers.

tool
1
auth
Secret needed
transport
SSE
last updated
May 28, 2026
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Tools

1 tools

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

verifyFirewall de Gobernanza y Escudo de Agentes — /api/verify endpoint. Fee: $0.05 USDC via x402.1 params

Firewall de Gobernanza y Escudo de Agentes — /api/verify endpoint. Fee: $0.05 USDC via x402.

Parameters* required
payloadstring
JSON-encoded request body for the /api/verify endpoint.

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Details

Category
Security & Pentesting
Transport
SSE
Auth
Required
Registry
MCP registry, active

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