Execute code in memory without saving to file. Supports python, node, r, powershell, bash.
AI agents invoke execute_code to trigger actions in OODA Computer Control. 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.
This tool directly executes arbitrary code in multiple programming languages with side effects depending on the code arguments. It is an Execute category tool rather than lower categories because code execution can trigger any operation (file manipulation, network calls, system changes).
From the tool's definition Tool executes code in memory without saving to file, supports multiple languages (python, node, r, powershell, bash), and operates within a server providing comprehensive computer control capabilities including shell commands, system monitoring, and external…
Documented attack patterns abuse exactly the kind of access execute_code gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and OODA Computer Control, and nothing reaches the server without passing your rules. This is the rule we recommend for execute_code:
{
"version": "1",
"default": "deny",
"tools": {
"execute_code": {
"limits": [
{
"counter": "execute_code_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
}execute_code 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.
Free to start. No card required.
Execute code in memory without saving to file. Supports python, node, r, powershell, bash. It is categorised as a Execute tool in the OODA Computer Control MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the OODA Computer Control MCP server in PolicyLayer and add a rule for execute_code: 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 OODA Computer Control. Nothing to install.
execute_code is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the execute_code 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.
Set action: deny in the PolicyLayer policy for execute_code. 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.
execute_code is provided by the OODA Computer Control MCP server (mnehmos/mnehmos.ooda.mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from OODA Computer Control, 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.
99 OODA Computer Control tools catalogued and risk-classified — across an index of 43,000+ MCP servers.