Delete a Plex user.
AI agents call delete_user to permanently remove resources in PlexMCP — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Deleting a user is an irreversible destructive action that cannot be undone without manual intervention or backups. While not affecting financial systems or executable code, it removes user identity and potentially their access, settings, and associated content from the Plex system.
From the tool's definition Tool name is 'delete_user' with description 'Delete a Plex user.' The verb 'delete' explicitly indicates irreversible removal of a user account and associated data.
Attacks that exploit this kind of access
Delete a Plex user. It is categorised as a Destructive tool in the PlexMCP MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Plex MCP server in PolicyLayer and add a rule for delete_user: 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 PlexMCP. Nothing to install.
delete_user is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the delete_user 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 delete_user. 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.
delete_user is provided by the Plex MCP server (sandraschi/plexmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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