AI agents invoke send_management_api_request 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.
The tool name 'send_management_api_request' strongly implies it sends requests to the Supabase Management API, which can perform a wide range of operations including creating, modifying, or deleting database resources, configuring projects, and managing infrastructure.
From the tool's definition Tool name: 'send_management_api_request' on a server that provides access to 'Supabase Management API'. Description is empty/uninformative.
Documented attack patterns abuse exactly the kind of access send_management_api_request 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 send_management_api_request:
{
"version": "1",
"default": "deny",
"tools": {
"send_management_api_request": {
"limits": [
{
"counter": "send_management_api_request_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} send_management_api_request 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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send_management_api_request. 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 send_management_api_request: 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.
send_management_api_request 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 send_management_api_request 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 send_management_api_request. 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.
send_management_api_request 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.