Retrieve information about a specific member by ID or username. Use this to get details about another Trello user.
AI agents call get_member to retrieve information from Trello without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves user information from Trello without modifying, deleting, or executing any operations. It is a straightforward read operation that queries existing member data. The low severity reflects minimal blast radius—an AI agent retrieving member information poses no direct harm to data integrity or system state.
From the tool's definition Tool name 'get_member' and description 'Retrieve information about a specific member by ID or username' indicate a data retrieval operation with no side effects.
Documented attack patterns abuse exactly the kind of access get_member gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Trello, and nothing reaches the server without passing your rules. This is the rule we recommend for get_member:
{
"version": "1",
"default": "deny",
"tools": {
"get_member": {}
}
} get_member is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Retrieve information about a specific member by ID or username. Use this to get details about another Trello user. It is categorised as a Read tool in the Trello MCP Server, which means it retrieves data without modifying state.
Register the Trello MCP server in PolicyLayer and add a rule for get_member: 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 Trello. Nothing to install.
get_member 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 get_member 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 get_member. 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.
get_member is provided by the Trello MCP server (v4lheru/trello-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Trello, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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76 Trello tools catalogued and risk-classified — across an index of 43,000+ MCP servers.