Revoke access from one or more people for a project
AI agents call remove_person_from_project to permanently remove resources in Basecamp MCP Server — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Revoking access removes permissions for users from a project. This is effectively irreversible in the sense that it immediately cuts off access, and restoring it requires deliberate re-invitation. The blast radius is high because an AI agent could accidentally remove legitimate users (including many at once) from a project, disrupting collaboration and potentially causing data access loss.
From the tool's definition Revoke access from one or more people for a project
Documented attack patterns abuse exactly the kind of access remove_person_from_project gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Basecamp MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for remove_person_from_project:
{
"version": "1",
"default": "deny",
"hide": [
"remove_person_from_project"
]
} remove_person_from_project disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
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Revoke access from one or more people for a project. It is categorised as a Destructive tool in the Basecamp MCP Server MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the Basecamp MCP Server MCP server in PolicyLayer and add a rule for remove_person_from_project: 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 Basecamp MCP Server. Nothing to install.
remove_person_from_project is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the remove_person_from_project 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 remove_person_from_project. 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.
remove_person_from_project is provided by the Basecamp MCP Server MCP server (qusaiisaleem/basecamp-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Basecamp MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
56 Basecamp MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.