Agent Guardrail

Action-level policy enforcement for AI agents — control what agents DO, not just what they say.

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What it can do

  • 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

What data it sees

Do you need an account

No: the server works without sign-in

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

How to connect

How to connect Agent Guardrail to Claude

The server address to paste into Claude settings:

https://agent-guardrail--eren-solutions.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Agent Guardrail to ChatGPT

The server address to paste into ChatGPT settings:

https://agent-guardrail--eren-solutions.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Agent Guardrail to Cursor

The server address to paste into Cursor settings:

https://agent-guardrail--eren-solutions.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (6)

Raw names from tools/list. Only developers need these.

evaluate_actionEvaluate whether an agent action is allowed by the guardrail policy. Call this BEFORE executing any tool, shell command, or HTTP request.
register_agentRegister a new agent with the guardrail system. Must be called before evaluate_action.
list_agentsList 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, created_at.
get_statsRetrieve aggregate statistics from the guardrail system including evaluation counts, policy data, and agent metrics. Returns: Statistics object with fields: total_evaluations, allowed_count, denied_count, agent_count, policy_count.
kill_agentEmergency kill-switch: immediately block ALL actions for an agent. Use when an agent is misbehaving or compromised.
unkill_agentRe-enable a previously killed agent, restoring its ability to have actions evaluated.