Remove a member from a Trello card.
AI agents use removeMemberFromCard to create or update resources in Trello MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Trello MCP Server environment.
Removing a member from a card is a reversible modification — the member can be re-added. It modifies card membership state but does not delete data permanently, making it a Write operation. Misuse could disrupt collaboration but is recoverable.
From the tool's definition Remove a member from a Trello card
Attacks that exploit this kind of access
Remove a member from a Trello card. It is categorised as a Write tool in the Trello MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Trello MCP Server MCP server in PolicyLayer and add a rule for removeMemberFromCard: 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 MCP Server. Nothing to install.
removeMemberFromCard is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the removeMemberFromCard 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 removeMemberFromCard. 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.
removeMemberFromCard is provided by the Trello MCP Server MCP server (semblancelabs/trello-mcp-server). 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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