adaptercloud_workspace_members_remove

Remove a member by membership id.

SERVERAdaptercloud SOURCE@burdenoff/adaptercloud-mcp

Critical RISK CLASS

Category Destructive

Parameters 11 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/burdenoff-adaptercloud-mcp/adaptercloud-workspace-members-remove.md

WHAT IT DOES

What adaptercloud_workspace_members_remove does on Adaptercloud

AI agents call adaptercloud_workspace_members_remove to permanently remove resources in Adaptercloud, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

Parameter	Type	Required	Description
`membershipId`	string	Yes	Membership ID to remove

Parameters from the server's own tool schema.

RISK

Why adaptercloud_workspace_members_remove is rated Critical

An AI agent that decides to call adaptercloud_workspace_members_remove doesn't hesitate, doesn't double-check, and doesn't stop at one. Whatever it removes from Adaptercloud is gone. There is no undo for destructive operations.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs adaptercloud_workspace_members_remove safely

PolicyLayer is an MCP gateway: it sits between your AI agents and Adaptercloud, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For adaptercloud_workspace_members_remove, this is the rule to start with:

adaptercloud_workspace_members_remove Hidden

adaptercloud_workspace_members_remove is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "adaptercloud_workspace_members_remove"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Adaptercloud, apply this rule, and every adaptercloud_workspace_members_remove call is checked against it from then on.

FAQ

Questions about adaptercloud_workspace_members_remove

What does the adaptercloud_workspace_members_remove tool do? +

Remove a member by membership id. It is categorised as a Destructive tool in the Adaptercloud MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

What parameters does adaptercloud_workspace_members_remove accept? +

adaptercloud_workspace_members_remove accepts 1 parameter: membershipId. Required: membershipId. The full parameter table on this page comes from the server's own tool schema.

How do I enforce a policy on adaptercloud_workspace_members_remove? +

Register the Adaptercloud MCP server in PolicyLayer and add a rule for adaptercloud_workspace_members_remove: 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 Adaptercloud. Nothing to install.

What risk level is adaptercloud_workspace_members_remove? +

adaptercloud_workspace_members_remove is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit adaptercloud_workspace_members_remove? +

Yes. Add a rate_limit block to the adaptercloud_workspace_members_remove 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.

How do I block adaptercloud_workspace_members_remove completely? +

Set action: deny in the PolicyLayer policy for adaptercloud_workspace_members_remove. 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.

What MCP server provides adaptercloud_workspace_members_remove? +

adaptercloud_workspace_members_remove is provided by the Adaptercloud MCP server (@burdenoff/adaptercloud-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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