List users.
AI agents call wiki_users_list to retrieve information from Mcp Wikijs Mv without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool queries and returns a list of users from the Wiki.js system. It performs no modifications, deletions, or external operations—purely informational retrieval. Even though user lists could be considered sensitive information in some contexts, the core function is read-only and has minimal blast radius if called by an AI agent.
From the tool's definition Tool name 'wiki_users_list' and description 'List users' indicate a data retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
List users. It is categorised as a Read tool in the Mcp Wikijs Mv MCP Server, which means it retrieves data without modifying state.
Register the Mcp Wikijs Mv MCP server in PolicyLayer and add a rule for wiki_users_list: 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 Mcp Wikijs Mv. Nothing to install.
wiki_users_list 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 wiki_users_list 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 wiki_users_list. 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.
wiki_users_list is provided by the Mcp Wikijs Mv MCP server (janschachtschabel/mcp-for-wiki-js). 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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