process_video
AI agents invoke process_video to trigger actions in MCP Video Parser. 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.
The tool name 'process_video' strongly implies triggering an AI processing pipeline on video content — an execution action that runs external operations. The server description explicitly mentions 'process' as a core capability. However, the description is empty, lowering confidence. Sibling tools suggest this is likely the ingestion/processing trigger (vs. the read-only query/search tools), placing it in Execute.
From the tool's definition Tool name 'process_video' on a server described as a 'video analysis system that uses AI vision models to process, analyze, and query video content'
Attacks that exploit this kind of access
process_video. It is categorised as a Execute tool in the MCP Video Parser MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the MCP Video Parser MCP server in PolicyLayer and add a rule for process_video: 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 Parser. Nothing to install.
process_video 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 process_video 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 process_video. 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.
process_video is provided by the MCP Video Parser MCP server (michaelbaker-dev/mcpvideoparser). 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.
Teams ship this data inside their own products. See what a licence covers →