Send custom input/deep-link parameters to the running app. Roku API: POST http://{host}:8060/input?{params} Sends name-value pairs via roInput to the active channel. Use for testing deep linking into a running app. Ref: developer.roku.com/docs/developer-program/debugging/external-control-api.md
AI agents invoke roku_input to trigger actions in Roku 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.
This tool triggers an external operation on a running Roku application by POSTing parameters that affect its runtime behavior. It doesn't just read data or create/modify stored data — it actively sends input events to a live app, making it an Execute-category action. Misuse could cause unintended app behavior or navigation, but blast radius is limited to the targeted device/app session.
From the tool's definition Send custom input/deep-link parameters to the running app... Sends name-value pairs via roInput to the active channel
Attacks that exploit this kind of access
Send custom input/deep-link parameters to the running app. Roku API: POST http://{host}:8060/input?{params} Sends name-value pairs via roInput to the active channel. Use for testing deep linking into a running app. Ref: developer.roku.com/docs/developer-program/debugging/external-control-api.md. It is categorised as a Execute tool in the Roku MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Roku MCP Server MCP server in PolicyLayer and add a rule for roku_input: 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 Roku MCP Server. Nothing to install.
roku_input 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 roku_input 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 roku_input. 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.
roku_input is provided by the Roku MCP Server MCP server (maskelog/roku-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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