Build a JANDI Incoming Webhook payload without sending it.
AI agents invoke jandi_build_message to trigger actions in Mailplug Jandi. 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.
jandi_build_message triggers real processes with real consequences. An agent gone sideways doesn't fire it once — it starts dozens of builds, sends mass notifications, or burns through compute before anyone looks up.
Attacks that exploit this kind of access
Build a JANDI Incoming Webhook payload without sending it. It is categorised as a Execute tool in the Mailplug Jandi MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Mailplug Jandi MCP server in PolicyLayer and add a rule for jandi_build_message: 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 Mailplug Jandi. Nothing to install.
jandi_build_message is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the jandi_build_message 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 jandi_build_message. 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.
jandi_build_message is provided by the Mailplug Jandi MCP server (nimbuswsj/mailplug-jandi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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