AegisAI for Gemini CLI
io.github.kadopi/aegis-ai
Paid pre-execution risk verification for AI agents over MCP and x402.
client:Gemini CLI
transport:streamable-http
tools:17
Install AegisAI in Gemini CLI
~/.gemini/settings.json · windows: %USERPROFILE%\.gemini\settings.json
{
"mcpServers": {
"aegis-ai": {
"httpUrl": "https://aegis-api.kadopi.workers.dev/mcp"
}
}
}
Gemini expands $VAR and ${VAR} inside env values, so a secret can live in your shell rather than this file. Gemini CLI docs
What Gemini CLI can do once it is connected
- get_aegis_capabilities
- evaluate_agent_commerce_policy
- list_monitor_alerts
- get_monitor_alert
- update_monitor_alert_status
- list_monitor_subscriptions
- get_monitor_subscription
- register_monitor_subscription
- update_monitor_subscription
- stop_monitor_subscription
- register_monitor_a2a_endpoint
- list_monitor_a2a_endpoints
- create_monitor_a2a_endpoint_challenge
- create_monitor_a2a_dns_txt_challenge
- verify_monitor_a2a_dns_txt_challenge
- stop_monitor_a2a_endpoint
- verify_risk