Transcribe videos from 1000+ platforms (YouTube, Vimeo, TikTok, Twitter, etc.) or local video files using OpenAI Whisper. Downloads/extracts audio and generates transcript in TXT, JSON, and Markdown formats. Requires yt-dlp, whisper, and ffmpeg to be installed.
AI agents call transcribe_video to retrieve information from Video Transcriber MCP Server without modifying anything — typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
This tool extracts and converts existing video content into transcript formats (TXT, JSON, Markdown). It is a read operation that retrieves audio from various platforms and produces derived data. There is no modification of original videos, deletion of data, code execution on user systems beyond the transcription process itself, or financial impact.
From the tool's definition Tool description states it 'Transcribe[s] videos' and 'generates transcript' — retrieval and processing of audio/video content into text without modifying or deleting the source material. No side effects beyond creating read-only output files.
Attacks that exploit this kind of access
Transcribe videos from 1000+ platforms (YouTube, Vimeo, TikTok, Twitter, etc.) or local video files using OpenAI Whisper. Downloads/extracts audio and generates transcript in TXT, JSON, and Markdown formats. Requires yt-dlp, whisper, and ffmpeg to be installed. It is categorised as a Read tool in the Video Transcriber MCP Server MCP Server, which means it retrieves data without modifying state.
Register the Video Transcriber MCP Server MCP server in PolicyLayer and add a rule for transcribe_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 Video Transcriber MCP Server. Nothing to install.
transcribe_video 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 transcribe_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 transcribe_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.
transcribe_video is provided by the Video Transcriber MCP Server MCP server (nhatvu148/video-transcriber-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.
Teams ship this data inside their own products. See what a licence covers →