Promote a read replica to a standalone database.
AI agents use promote_read_replica to create or update resources in Vultr MCP — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Vultr MCP environment.
Promoting a read replica to a standalone database changes the database topology and configuration. This is a Write/reconfiguration action that modifies infrastructure state. While potentially disruptive (it changes replication relationships and could affect application connectivity), it is not purely destructive as the data is preserved and the operation creates a new standalone instance.
From the tool's definition Promote a read replica to a standalone database
Documented attack patterns abuse exactly the kind of access promote_read_replica gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Vultr MCP, and nothing reaches the server without passing your rules. This is the rule we recommend for promote_read_replica:
{
"version": "1",
"default": "deny",
"tools": {
"promote_read_replica": {
"limits": [
{
"counter": "promote_read_replica_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} promote_read_replica 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.
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Promote a read replica to a standalone database. It is categorised as a Write tool in the Vultr MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Vultr MCP server in PolicyLayer and add a rule for promote_read_replica: 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 Vultr MCP. Nothing to install.
promote_read_replica 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 promote_read_replica 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 promote_read_replica. 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.
promote_read_replica is provided by the Vultr MCP server (rsp2k/mcp-vultr). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Vultr MCP, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
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