AI agents call list_users to retrieve information from PlexMCP without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
The tool queries and returns information about Plex users without creating, modifying, or deleting any data. It is a straightforward read operation that has minimal blast radius if misused by an AI agent, as it only exposes user metadata that is typically already accessible to authenticated Plex account holders.
From the tool's definition Tool name is 'list_users' and description states 'List all Plex users' — this is a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
List all Plex users. It is categorised as a Read tool in the PlexMCP MCP Server, which means it retrieves data without modifying state.
Register the Plex MCP server in PolicyLayer and add a rule for list_users: 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.
list_users is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the list_users 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 list_users. 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.
list_users 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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