High Risk →

orgo_exec

Execute Python code on the computer. Returns output or error details. Use for computation, JSON manipulation, HTTP calls, or any task naturally expressed in Python —

How to control orgo_exec ↓

What orgo_exec does on Orgo MCP Server

AI agents invoke orgo_exec to trigger actions in Orgo 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 orgo_exec needs a policy

This tool allows unrestricted Python code execution on a virtual computer. Python code execution is inherently an Execute category action because it triggers external operations whose effects depend entirely on the arguments provided. The critical severity reflects the extreme blast radius: arbitrary Python can perform I/O, network operations, modify files, exfiltrate data, or pivot to other systems.

From the tool's definition Tool name 'orgo_exec' and description explicitly states 'Execute Python code on the computer.' The description lists capabilities including 'computation, JSON manipulation, HTTP calls, or any task naturally expressed in Python', indicating arbitrary code…

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

How to control orgo_exec

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

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

orgo_exec 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 Orgo 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 →

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Questions about orgo_exec

What does the orgo_exec tool do? +

Execute Python code on the computer. Returns output or error details. Use for computation, JSON manipulation, HTTP calls, or any task naturally expressed in Python —. It is categorised as a Execute tool in the Orgo 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 orgo_exec? +

Register the Orgo MCP Server MCP server in PolicyLayer and add a rule for orgo_exec: 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 Orgo MCP Server. Nothing to install.

What risk level is orgo_exec? +

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

Can I rate-limit orgo_exec? +

Yes. Add a rate_limit block to the orgo_exec 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 orgo_exec completely? +

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

orgo_exec is provided by the Orgo MCP Server MCP server (nickvasilescu/orgo-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Orgo MCP Server tool call.

Start from Orgo 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.

28 Orgo MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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