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MCP live MCP 2025-11-25 http

Agent Guardrail

eren-solutions/agent-guardrail

Action-level policy enforcement for AI agents — control what agents DO, not just what they say. Evaluate actions against configurable security policies before execution.

Watch this dependency Share evidence report
Uptime
100.0%
5 direct probes · 30d
Response
630ms
last probe
Tools
6
callable
Resources
0
readable
Prompts
2
available
Score: 100/100
Handshake verified by our own probe.
pass Answers the MCP handshake 50/50
The handshake and the list calls succeeded on the primary URL.
pass Lists tools, resources or prompts 30/30
6 tools, 0 resources, 2 prompts returned.
pass 3 or more catalogue items 10/10
8 items in total; 3 or more earns these points.
pass Describes itself 10/10
169 characters; more than 30 earns these points.

Tools · 6

evaluate_action

Evaluate whether an agent action is allowed by the guardrail policy. Call this BEFORE executing any tool, shell command, or HTTP request.

register_agent

Register a new agent with the guardrail system. Must be called before evaluate_action.

list_agents

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…

get_stats

Retrieve aggregate statistics from the guardrail system including evaluation counts, policy data, and agent metrics. Returns: Statistics object with fields: total_evaluations, allowed_cou…

kill_agent

Emergency kill-switch: immediately block ALL actions for an agent. Use when an agent is misbehaving or compromised.

unkill_agent

Re-enable a previously killed agent, restoring its ability to have actions evaluated.

Prompts · 2

setup_guardrail

Step-by-step guide to set up guardrail enforcement for a new agent.

security_best_practices

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"
    }
  }
}