manage_rls_policies
A write tool on the Supabase MCP Server - Self-Hosted Edition MCP server.
This record as markdown: /tools/abdqum-supabase-mcp-selfhosted/manage-rls-policies.md
What manage_rls_policies does on Supabase MCP Server - Self-Hosted Edition
AI agents use manage_rls_policies to create or update resources in Supabase MCP Server - Self-Hosted Edition, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Supabase MCP Server - Self-Hosted Edition environment.
Why manage_rls_policies is rated Medium
RLS (Row-Level Security) policies control data access at the database level. Managing them modifies security configurations that affect which data users can access. This is a Write operation because policies can be created, updated, and removed, making changes reversible.
From the tool's definition Tool name 'manage_rls_policies' indicates creation or modification of Row-Level Security policies in Supabase. The server description mentions 'database operations' and '54+ tools for database operations'.
Attacks that exploit this kind of access
The rule that runs manage_rls_policies safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Supabase MCP Server - Self-Hosted Edition, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For manage_rls_policies, this is the rule to start with:
manage_rls_policies stays usable, but capped: an agent stuck in a loop can't make hundreds of changes a minute. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Supabase MCP Server - Self-Hosted Edition, apply this rule, and every manage_rls_policies call is checked against it from then on.
Questions about manage_rls_policies
manage_rls_policies is a write tool on the Supabase MCP Server - Self-Hosted Edition MCP server. It is categorised as a Write tool in the Supabase MCP Server - Self-Hosted Edition MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Supabase MCP Server - Self-Hosted Edition MCP server in PolicyLayer and add a rule for manage_rls_policies: 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 - Self-Hosted Edition. Nothing to install.
manage_rls_policies is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the manage_rls_policies 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 manage_rls_policies. 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.
manage_rls_policies is provided by the Supabase MCP Server - Self-Hosted Edition MCP server (abdqum/supabase-mcp-selfhosted). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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