AI agents call messages_get to retrieve information from Propresenter without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool retrieves or queries message details with no side effects. It performs a read-only operation typical of data lookup functions. The low severity reflects minimal risk if misused by an AI agent, as retrieving message details cannot cause damage or unintended state changes.
From the tool's definition Tool name 'messages_get' and description 'Get details of a specific message' indicate data retrieval without modification. The verb 'Get' and the context within a presentation software (ProPresenter 7) suggest querying existing message data.
Documented attack patterns abuse exactly the kind of access messages_get gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Propresenter, and nothing reaches the server without passing your rules. This is the rule we recommend for messages_get:
{
"version": "1",
"default": "deny",
"tools": {
"messages_get": {}
}
}messages_get is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Get details of a specific message. It is categorised as a Read tool in the Propresenter MCP Server, which means it retrieves data without modifying state.
Register the Propresenter MCP server in PolicyLayer and add a rule for messages_get: 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 Propresenter. Nothing to install.
messages_get 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 messages_get 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 messages_get. 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.
messages_get is provided by the Propresenter MCP server (@alxpark/propresenter-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Propresenter, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
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177 Propresenter tools catalogued and risk-classified — across an index of 43,000+ MCP servers.