List all pending invitations for an organization.
AI agents call cloud_list_invitations to retrieve information from MCP ClickHouse without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs a simple data retrieval operation (list) with no side effects. It queries invitations for informational purposes only. The 'list' action is explicitly a Read category operation. Severity is low because the blast radius is limited to exposure of invitation data, which typically contains minimal sensitive information (email addresses, organizational context).
From the tool's definition Tool name 'cloud_list_invitations' and description 'List all pending invitations for an organization' indicate a read-only operation that retrieves and queries existing invitation data without modifying or deleting it.
Documented attack patterns abuse exactly the kind of access cloud_list_invitations gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP ClickHouse, and nothing reaches the server without passing your rules. This is the rule we recommend for cloud_list_invitations:
{
"version": "1",
"default": "deny",
"tools": {
"cloud_list_invitations": {}
}
} cloud_list_invitations is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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List all pending invitations for an organization. It is categorised as a Read tool in the MCP ClickHouse MCP Server, which means it retrieves data without modifying state.
Register the MCP ClickHouse MCP server in PolicyLayer and add a rule for cloud_list_invitations: 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 MCP ClickHouse. Nothing to install.
cloud_list_invitations 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 cloud_list_invitations 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 cloud_list_invitations. 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.
cloud_list_invitations is provided by the MCP ClickHouse MCP server (oualib/chmcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP ClickHouse, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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55 MCP ClickHouse tools catalogued and risk-classified — across an index of 43,000+ MCP servers.