High Risk →

run_script

Execute arbitrary Jython code in the Ghidra scripting environment. Has access to currentProgram, ghidra API, and all standard Ghidra script variables. Output is captured from stdout.

How to control run_script ↓

What run_script does on Kawaiidra MCP

AI agents invoke run_script to trigger actions in Kawaiidra MCP. 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_script needs a policy

This tool enables execution of arbitrary code within a powerful binary analysis framework. The Ghidra API provides extensive capabilities to modify binaries, alter analysis results, and perform side effects that depend entirely on the code executed.

From the tool's definition Tool description explicitly states 'Execute arbitrary Jython code in the Ghidra scripting environment' with access to 'currentProgram, ghidra API, and all standard Ghidra script variables.' The word 'arbitrary' combined with full access to the Ghidra API…

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

How to control run_script

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

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

run_script 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 Kawaiidra MCP — 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_script

What does the run_script tool do? +

Execute arbitrary Jython code in the Ghidra scripting environment. Has access to currentProgram, ghidra API, and all standard Ghidra script variables. Output is captured from stdout. It is categorised as a Execute tool in the Kawaiidra MCP 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_script? +

Register the Kawaiidra MCP server in PolicyLayer and add a rule for run_script: 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 Kawaiidra MCP. Nothing to install.

What risk level is run_script? +

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

Can I rate-limit run_script? +

Yes. Add a rate_limit block to the run_script 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_script completely? +

Set action: deny in the PolicyLayer policy for run_script. 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_script? +

run_script is provided by the Kawaiidra MCP server (wagonbomb/kawaiidra-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Kawaiidra MCP tool call.

Start from Kawaiidra MCP, 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.

94 Kawaiidra MCP 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.