Advanced: provide raw argv array to pass after common flags (e.g., [
AI agents invoke cursor_agent_raw to trigger actions in Cursor Agent 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.
This tool passes a raw argv array directly to the cursor-agent CLI, meaning an AI agent could construct arbitrary commands including destructive or code-execution operations. The 'raw' nature with no apparent constraints makes it a highly flexible execution primitive.
From the tool's definition 'Advanced: provide raw argv array to pass after common flags' - allows arbitrary CLI argument injection to the cursor-agent CLI
Documented attack patterns abuse exactly the kind of access cursor_agent_raw gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Cursor Agent MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for cursor_agent_raw:
{
"version": "1",
"default": "deny",
"tools": {
"cursor_agent_raw": {
"limits": [
{
"counter": "cursor_agent_raw_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} cursor_agent_raw 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.
Advanced: provide raw argv array to pass after common flags (e.g., [. It is categorised as a Execute tool in the Cursor Agent MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Cursor Agent MCP Server MCP server in PolicyLayer and add a rule for cursor_agent_raw: 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 Cursor Agent MCP Server. Nothing to install.
cursor_agent_raw 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 cursor_agent_raw 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 cursor_agent_raw. 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.
cursor_agent_raw is provided by the Cursor Agent MCP Server MCP server (sailay1996/cursor-agent-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Cursor Agent 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.
7 Cursor Agent MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.