manage_docker

Manage Docker containers for self-hosted Supabase (status, logs, restart)

SERVERSupabase MCP Server - Self-Hosted Edition SOURCEabdqum/supabase-mcp-selfhosted

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/abdqum-supabase-mcp-selfhosted/manage-docker.md

WHAT IT DOES

What manage_docker does on Supabase MCP Server - Self-Hosted Edition

AI agents invoke manage_docker to trigger actions in Supabase MCP Server - Self-Hosted Edition. 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.

RISK

Why manage_docker is rated High

The tool manages Docker containers including restarting them, which triggers external operations with real infrastructure impact. 'restart' is an operational action that can disrupt running services. While 'status' and 'logs' are read-only, the presence of 'restart' elevates this to Execute category. Misuse could cause service downtime across the entire Supabase stack.

From the tool's definition Manage Docker containers for self-hosted Supabase (status, logs, restart)

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs manage_docker 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_docker, this is the rule to start with:

manage_docker Rate-limited

manage_docker 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.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "manage_docker": {
      "limits": [
        {
          "counter": "manage_docker_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Supabase MCP Server - Self-Hosted Edition, apply this rule, and every manage_docker call is checked against it from then on.

FAQ

Questions about manage_docker

What does the manage_docker tool do? +

Manage Docker containers for self-hosted Supabase (status, logs, restart). It is categorised as a Execute tool in the Supabase MCP Server - Self-Hosted Edition MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on manage_docker? +

Register the Supabase MCP Server - Self-Hosted Edition MCP server in PolicyLayer and add a rule for manage_docker: 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.

What risk level is manage_docker? +

manage_docker is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit manage_docker? +

Yes. Add a rate_limit block to the manage_docker 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.

How do I block manage_docker completely? +

Set action: deny in the PolicyLayer policy for manage_docker. 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.

What MCP server provides manage_docker? +

manage_docker 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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