Lancer un film par son ID dans Kodi
AI agents invoke play_movie to trigger actions in Kodi 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 playback of a movie in Kodi, which is an external operation that causes the media center to start playing content. It doesn't merely read data or write/modify stored data, but actively executes a playback action on the Kodi system. Severity is medium as misuse could disrupt ongoing sessions but has limited broader impact.
From the tool's definition "Lancer un film par son ID dans Kodi" (Launch a movie by its ID in Kodi)
Attacks that exploit this kind of access
Lancer un film par son ID dans Kodi. It is categorised as a Execute tool in the Kodi MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Kodi MCP Server MCP server in PolicyLayer and add a rule for play_movie: 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 Kodi MCP Server. Nothing to install.
play_movie 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 play_movie 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 play_movie. 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.
play_movie is provided by the Kodi MCP Server MCP server (laheud/kodi-mcp-server). 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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