MCPLow riskUnclaimed

Aegis — AI Agent Governance

Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.

Acacianacacian/aegis★ 17Updated Mar 22, 2026

server.json

{
  "$schema": "https://static.modelcontextprotocol.io/schemas/2025-12-11/server.schema.json",
  "name": "io.github.Acacian/aegis",
  "description": "Policy-based governance for AI agent tool calls. YAML policy, approval gates, audit logging.",
  "title": "Aegis — AI Agent Governance",
  "repository": {
    "url": "https://github.com/Acacian/aegis",
    "source": "github"
  },
  "version": "0.1.7",
  "packages": [
    {
      "registryType": "pypi",
      "identifier": "agent-aegis",
      "version": "0.1.6",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "description": "Path to YAML policy file",
          "format": "string",
          "name": "AEGIS_POLICY_PATH"
        }
      ]
    }
  ]
}

Permissions

DeclaredDetected
Runs code—python
Installs—pypi:agent-aegis@0.1.6
Runs install scripts—None
NetworkNoneNone
Needs credentialsNoneNone
Outside the workspace—None
Agent tools—None

Checks

Low risk · Nothing worth a warning was found.

Not reviewed by a person · Checked by rules; the model review is not switched on yet.

Versions

  1. #10.1.7latestOct 7, 2026