Calls a method of the Python SDK client
AI agents invoke call_auth_admin_method to trigger actions in Supabase MCP Server. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes arbitrary Auth Admin SDK methods, which can include creating, updating, or deleting users, managing sessions, and other privileged identity operations. The description is vague but 'calls a method' implies dynamic execution of SDK operations. Auth admin operations can be highly impactful (e.g., deleting users, revoking tokens), making severity high.
From the tool's definition 'Calls a method of the Python SDK client' — executes SDK methods against the Auth Admin API
Documented attack patterns abuse exactly the kind of access call_auth_admin_method gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Supabase MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for call_auth_admin_method:
{
"version": "1",
"default": "deny",
"tools": {
"call_auth_admin_method": {
"limits": [
{
"counter": "call_auth_admin_method_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} call_auth_admin_method stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.
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Calls a method of the Python SDK client. It is categorised as a Execute tool in the Supabase MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Supabase MCP Server MCP server in PolicyLayer and add a rule for call_auth_admin_method: 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 Supabase MCP Server. Nothing to install.
call_auth_admin_method is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the call_auth_admin_method 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 call_auth_admin_method. 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.
call_auth_admin_method is provided by the Supabase MCP Server MCP server (deploya-labs/mcp-supabase). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Supabase MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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10 Supabase MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.