This record as markdown: /tools/io-github-alxpark-propresenter-mcp/props-trigger.md
What props_trigger does on Propresenter
AI agents invoke props_trigger to trigger actions in Propresenter. 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.
Why props_trigger is rated High
This tool executes a command that produces a side effect (displaying visual content) in a presentation application. It is not merely reading data (Read), nor creating/modifying persistent data (Write), nor permanently destructive (Destructive). The impact is reversible and depends on which prop is triggered, but it performs an active operation.
From the tool's definition Tool name is 'props_trigger' with description 'Trigger a specific prop to display'. The verb 'trigger' indicates execution of an action that causes an external effect (displaying a prop in ProPresenter 7).
Attacks that exploit this kind of access
The rule that runs props_trigger safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Propresenter, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For props_trigger, this is the rule to start with:
props_trigger 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Propresenter, apply this rule, and every props_trigger call is checked against it from then on.
Questions about props_trigger
Trigger a specific prop to display. It is categorised as a Execute tool in the Propresenter MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Propresenter MCP server in PolicyLayer and add a rule for props_trigger: 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.
props_trigger 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 props_trigger 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 props_trigger. 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.
props_trigger 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.
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