Enterprise DNA
M MCP Servers Developer low

guimatheus92/mcp-video-analyzer

by Various

MCP server for video analysis — extracts transcripts, key frames, OCR text, and metadata from video URLs. Supports Loom and direct video files.

G

MCP

guimatheus92/mcp-video-analyzer

Added 1 June 2026

#ai #claude #frames #loom #mcp #mcp-server #model-context-protocol #ocr

Overview

An MCP server that extracts transcripts, key frames, OCR text, and metadata from video URLs. It supports Loom and direct video files, enabling programmatic video analysis through the Model Context Protocol.

Best for

Best for
Developers needing to automate video content extraction within MCP-compatible workflows

Use cases

  • Extract transcripts and key frames from Loom recordings
  • Perform OCR on video frames to capture on-screen text
  • Retrieve metadata from direct video file URLs

How to use

Install

npx skills add guimatheus92/mcp-video-analyzer

Tools exposed

  • YTDLP_COOKIES
  • YTDLP_COOKIES_FROM_BROWSER
  • WHISPER_MODEL
  • WHISPER_LANGUAGE
  • WHISPER_PROMPT
  • WHISPER_BIN
  • WHISPER_DEVICE
  • WHISPER_COMPUTE
  • WHISPER_BEAM_SIZE
  • WHISPER_WORD_TIMESTAMPS
  • WHISPER_HF_MODEL
  • OPENAI_API_KEY

Tested with

Claude Desktop, Claude Code, Cursor, VS Code, ChatGPT

Notes

An MCP server that extracts transcripts, key frames, OCR text, and metadata from video URLs. It supports Loom and direct video files, enabling programmatic video analysis through the Model Context Protocol.

9 stars on GitHub. Last updated 2026-03-27. Licensed MIT.

Use cases

  • Extract transcripts and key frames from Loom recordings
  • Perform OCR on video frames to capture on-screen text
  • Retrieve metadata from direct video file URLs

Pros

  • Supports both Loom and direct video file inputs
  • Provides multiple extraction types (transcript, frames, OCR, metadata)
  • Lightweight TypeScript implementation with few dependencies

Cons

  • Limited to video URLs, no local file upload support
  • No built-in error handling for unsupported video formats
  • Small community and limited documentation beyond the README

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Supports both Loom and direct video file inputs
  • Provides multiple extraction types (transcript, frames, OCR, metadata)
  • Lightweight TypeScript implementation with few dependencies

Cons

  • Limited to video URLs, no local file upload support
  • No built-in error handling for unsupported video formats
  • Small community and limited documentation beyond the README
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