This record as markdown: /tools/frontmcp/users-get.md
What users-get does on Frontmcp
AI agents call users-get to retrieve information from Frontmcp without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
Why users-get is rated Low
This tool retrieves user data by ID, which is a straightforward query operation. It has no capability to modify, delete, or execute actions. The blast radius is limited to information disclosure of a single user record. Severity is low because retrieval of user data alone (unless highly sensitive PII is involved) typically poses minimal risk when accessed appropriately.
From the tool's definition Tool name 'users-get' and description 'Get a specific user by ID' indicate a retrieval operation with no modification or side effects.
Attacks that exploit this kind of access
The rule that runs users-get safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Frontmcp, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For users-get, this is the rule to start with:
users-get is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Frontmcp, apply this rule, and every users-get call is checked against it from then on.
Questions about users-get
Get a specific user by ID. It is categorised as a Read tool in the Frontmcp MCP Server, which means it retrieves data without modifying state.
Register the Front MCP server in PolicyLayer and add a rule for users-get: 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 Frontmcp. Nothing to install.
users-get 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 users-get 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 users-get. 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.
users-get is provided by the Front MCP server (agentfront/frontmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Front, and thousands of servers like it.
This server
Across the catalogue