Lấy danh sách tất cả users trong Matomo
AI agents call matomo_get_users to retrieve information from Matomo MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries user data from Matomo without creating, modifying, or deleting any information. It is a straightforward read operation that fetches a list of existing users.
From the tool's definition Tool name 'matomo_get_users' and description 'Lấy danh sách tất cả users trong Matomo' (Get list of all users in Matomo) indicate a retrieval operation with no side effects.
Attacks that exploit this kind of access
Lấy danh sách tất cả users trong Matomo. It is categorised as a Read tool in the Matomo MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Matomo MCP Server MCP server in PolicyLayer and add a rule for matomo_get_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 Matomo MCP Server. Nothing to install.
matomo_get_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 matomo_get_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 matomo_get_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.
matomo_get_users is provided by the Matomo MCP Server MCP server (thichcode/matomo_mcp). 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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