Subscribe a user to a subscription group by userId
AI agents use subscribe_user_by_userid to create or update resources in Iterable MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Iterable MCP Server environment.
This tool modifies a user's subscription status, which is a reversible write operation. It does not delete data or execute arbitrary code. The blast radius is medium because misuse could enroll users in unwanted communications, but it is reversible.
From the tool's definition Subscribe a user to a subscription group by userId
Documented attack patterns abuse exactly the kind of access subscribe_user_by_userid gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Iterable MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for subscribe_user_by_userid:
{
"version": "1",
"default": "deny",
"tools": {
"subscribe_user_by_userid": {
"limits": [
{
"counter": "subscribe_user_by_userid_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
} subscribe_user_by_userid 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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Subscribe a user to a subscription group by userId. It is categorised as a Write tool in the Iterable MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Iterable MCP Server MCP server in PolicyLayer and add a rule for subscribe_user_by_userid: 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 Iterable MCP Server. Nothing to install.
subscribe_user_by_userid 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 subscribe_user_by_userid 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 subscribe_user_by_userid. 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.
subscribe_user_by_userid is provided by the Iterable MCP Server MCP server (iterable/mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Iterable MCP Server, 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.
78 Iterable MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.