Analyze and describe videos using Google Gemini AI
AI agents call video_recognition to retrieve information from MCP Video Recognition Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool performs analysis and description of video content, which is fundamentally a read operation. It retrieves information from video data and returns insights without creating side effects, modifying data, executing code, deleting content, or moving financial resources. The low severity reflects that misuse would result in information disclosure or analytical errors rather than system compromise or data loss.
From the tool's definition Tool name is 'video_recognition' and description states it will 'Analyze and describe videos using Google Gemini AI' — both indicate data retrieval and analysis with no modification, creation, deletion, or execution of external operations.
Documented attack patterns abuse exactly the kind of access video_recognition gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and MCP Video Recognition Server, and nothing reaches the server without passing your rules. This is the rule we recommend for video_recognition:
{
"version": "1",
"default": "deny",
"tools": {
"video_recognition": {}
}
}video_recognition is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.
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Analyze and describe videos using Google Gemini AI. It is categorised as a Read tool in the MCP Video Recognition Server MCP Server, which means it retrieves data without modifying state.
Register the MCP Video Recognition Server MCP server in PolicyLayer and add a rule for video_recognition: 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 MCP Video Recognition Server. Nothing to install.
video_recognition 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 video_recognition 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 video_recognition. 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.
video_recognition is provided by the MCP Video Recognition Server MCP server (mario-andreschak/mcp_video_recognition). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from MCP Video Recognition 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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3 MCP Video Recognition Server tools catalogued and risk-classified — across an index of 43,000+ MCP servers.