AI agents invoke publish_content_view to trigger actions in Foreman MCP Server. 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.
Publishing a content view in Foreman/Katello triggers an operation that creates a new version snapshot of a content view, making it available for promotion and deployment to hosts. This is an operational action that runs a background task and can affect system configurations at scale.
From the tool's definition Tool name: publish_content_view; description is empty and uninformative.
Documented attack patterns abuse exactly the kind of access publish_content_view gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Foreman MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for publish_content_view:
{
"version": "1",
"default": "deny",
"tools": {
"publish_content_view": {
"limits": [
{
"counter": "publish_content_view_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} publish_content_view 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.
Free to start. No card required.
publish_content_view. It is categorised as a Execute tool in the Foreman MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Foreman MCP Server MCP server in PolicyLayer and add a rule for publish_content_view: 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 Foreman MCP Server. Nothing to install.
publish_content_view 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 publish_content_view 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 publish_content_view. 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.
publish_content_view is provided by the Foreman MCP Server MCP server (theforeman/foreman-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Foreman 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.
9 Foreman MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.