AI agents use publish_entry to create or update resources in Strapi MCP Server — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Strapi MCP Server environment.
Publishing an entry modifies content visibility and accessibility in the CMS, making it live to end-users. This is a reversible Write operation (can be unpublished), not Destructive (data remains intact). However, the high severity reflects that publishing can expose content to wide audiences and may have business/reputational impact if the wrong entry is published.
From the tool's definition Tool name 'publish_entry' with description 'Publishes a specific entry.' indicates state change from draft/unpublished to published status in a CMS context.
Documented attack patterns abuse exactly the kind of access publish_entry gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Strapi MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for publish_entry:
{
"version": "1",
"default": "deny",
"tools": {
"publish_entry": {
"limits": [
{
"counter": "publish_entry_rate",
"window": "minute",
"max": 30,
"scope": "grant"
}
]
}
}
}publish_entry 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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Publishes a specific entry. It is categorised as a Write tool in the Strapi MCP Server MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Strapi MCP Server MCP server in PolicyLayer and add a rule for publish_entry: 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 Strapi MCP Server. Nothing to install.
publish_entry 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 publish_entry 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_entry. 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_entry is provided by the Strapi MCP Server MCP server (l33tdawg/strapi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Strapi MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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20 Strapi MCP Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.