Agent Guardrail
eren-solutions/agent-guardrailAction-level policy enforcement for AI agents — control what agents DO, not just what they say. Evaluate actions against configurable security policies before execution.
Score: 100/100
Handshake verified by our own probe.
Tools · 6
Evaluate whether an agent action is allowed by the guardrail policy. Call this BEFORE executing any tool, shell command, or HTTP request.
Register a new agent with the guardrail system. Must be called before evaluate_action.
List all agents currently registered in the guardrail system. Shows active and killed agents. Returns: Array of agent records with fields: id, name, framework, description, status, create…
Retrieve aggregate statistics from the guardrail system including evaluation counts, policy data, and agent metrics. Returns: Statistics object with fields: total_evaluations, allowed_cou…
Emergency kill-switch: immediately block ALL actions for an agent. Use when an agent is misbehaving or compromised.
Re-enable a previously killed agent, restoring its ability to have actions evaluated.
Prompts · 2
Step-by-step guide to set up guardrail enforcement for a new agent.
Security best practices for AI agent governance.
How to use
Claude Desktop or claude.ai: add a custom connector (Customize → Connectors; on Team and Enterprise plans an owner adds it under Organization settings → Connectors) with this server URL: https://guardrail-mcp.157-230-82-223.sslip.io/mcp
Cursor or Cline: add to your MCP config:
{
"mcpServers": {
"agent_guardrail": {
"url": "https://guardrail-mcp.157-230-82-223.sslip.io/mcp",
"transport": "http"
}
}
}