Get variant content for an experiment, including subject lines, preheaders, HTML source, and plain text
AI agents call get_experiment_variants to retrieve information from Iterable MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves and queries experiment variant data from the Iterable marketing platform. It has no side effects, does not modify data, does not execute operations, and does not delete or commit financial actions. It is a straightforward data retrieval operation, fitting the 'Read' category.
From the tool's definition Tool name 'get_experiment_variants' and description 'Get variant content' indicates retrieval of experiment data without modification. Returns read-only information: subject lines, preheaders, HTML source, and plain text.
Documented attack patterns abuse exactly the kind of access get_experiment_variants 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 get_experiment_variants:
{
"version": "1",
"default": "deny",
"tools": {
"get_experiment_variants": {}
}
} get_experiment_variants is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get variant content for an experiment, including subject lines, preheaders, HTML source, and plain text. It is categorised as a Read tool in the Iterable MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Iterable MCP Server MCP server in PolicyLayer and add a rule for get_experiment_variants: 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.
get_experiment_variants is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the get_experiment_variants 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 get_experiment_variants. 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.
get_experiment_variants 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.