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Secure AI agents locally with cost controls, injection blocking, and action approvals.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "AegisMCP" yet — see the docs or source repo.
Help me configure security policies for a local AI agent: cap each task budget at $5, detect and block prompt injection, and require human approval before deleting files, sending data externally, or running system commands. Provide setup steps and example policies.
An actionable security setup with cost caps, injection blocking rules, and approval policies for dangerous actions.
I want an AI agent to organize server logs automatically, but any action that changes system configs, restarts services, or accesses sensitive directories must pause for my approval first. Explain how to implement this approval flow and visual auditing with AegisMCP.
A design for the approval workflow and guidance on viewing pending actions and audit logs in the dashboard.
Help me design a cost-control plan for an AI agent: set budget caps per task and per day, trigger alerts near thresholds, automatically stop model and external tool calls when limits are exceeded, and show usage in the dashboard.
A cost-governance plan including budget rules, alerting, over-limit handling, and dashboard display recommendations.
Enforce compliant AI-to-data access with masking, policy controls, and audit trails.
Gives AI coding agents deterministic security rules from a project's threat model.
Provides compliance guardrails for AI agents to operate safely within regulations.
Securely expose OpenAPI endpoints as MCP tools with auth, limits, and auditing.
Safely lets AI agents use threat analysis and security operations tools.
Turn any CMS backend into an AI-ready system for managed content workflows.