High Risk →

run_checkov

run_checkov

How to control run_checkov ↓

What run_checkov does on Amazon Redshift MCP Server

AI agents invoke run_checkov to trigger actions in Amazon Redshift MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.

High Risk

Why run_checkov needs a policy

The tool executes a third-party security scanning framework (Checkov) whose behavior depends on the arguments provided (target files, configuration, checks to run). While not directly destructive or modifying data, it triggers external operations with effects that vary by input. This is Execute-category rather than Read because it performs active scanning/analysis rather than passive data retrieval.

From the tool's definition Tool named 'run_checkov' with empty description on an AWS Redshift MCP server. Checkov is an infrastructure-as-code scanning tool that executes static analysis checks against cloud configurations and code.

Documented attack patterns abuse exactly the kind of access run_checkov gives an agent:

How to control run_checkov

PolicyLayer is an MCP gateway — it sits between your AI agents and Amazon Redshift MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for run_checkov:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "run_checkov": {
      "limits": [
        {
          "counter": "run_checkov_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

run_checkov stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

  1. Create a free account and register Amazon Redshift MCP Server — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

Free to start. No card required.

Related tools and policies

Go deeper

Questions about run_checkov

What does the run_checkov tool do? +

run_checkov. It is categorised as a Execute tool in the Amazon Redshift MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on run_checkov? +

Register the Amazon Redshift MCP Server MCP server in PolicyLayer and add a rule for run_checkov: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Amazon Redshift MCP Server. Nothing to install.

What risk level is run_checkov? +

run_checkov is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit run_checkov? +

Yes. Add a rate_limit block to the run_checkov rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.

How do I block run_checkov completely? +

Set action: deny in the PolicyLayer policy for run_checkov. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.

What MCP server provides run_checkov? +

run_checkov is provided by the Amazon Redshift MCP Server MCP server (awslabs.redshift-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Amazon Redshift MCP Server tool call.

Start from Amazon Redshift MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

805 Amazon Redshift MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

// GET IN TOUCH

Have a question or want to learn more? Send us a message.

Message sent.

We'll get back to you soon.