What is mcp-video-analyzer?

This tool is an MCP server designed for comprehensive video analysis, extracting transcripts, key frames, OCR text, and metadata from various online platforms and local files. It uniquely combines visual and textual information into an annotated timeline, providing a unified view of video content.

mcp-video-analyzer: This tool is an MCP server designed for comprehensive video analysis,… (★ 60, MIT)

Features

01Extracts transcripts with timestamps and speakers from various video sources.

02Performs key frame extraction via scene-change detection, with fallback to uniform temporal sampling for static content.

03Applies Optical Character Recognition (OCR) to frames to capture on-screen text like code, error messages, and UI elements.

04Generates an annotated timeline merging transcript, frames, and OCR for a unified chronological view.

05Supports a wide range of video sources including Loom, YouTube, Vimeo, TikTok, Instagram, X/Twitter, Twitch, Dailymotion, Facebook, direct video URLs, and local files.

Why choose it

+Extracts transcripts with timestamps and speakers from various video sources.

+Analyzing video bug reports (e.g., Loom recordings) to extract error messages and UI context.

+Covers 4 supported environments or platforms, which is helpful for broader deployment needs.

+Ships with a public repository and a MIT license, which makes adoption and review easier.

Trade-offs

!There are at least 8 related tools in the same category, so the best choice is easier to make after side-by-side comparison.

Compatibility

Node.js 18+

Runtime

Verified via docs

Python

Dependency (yt-dlp)

Verified via docs

Chrome/Chromium

Fallback (Frame Extraction)

Verified via docs

MCP Clients

Integration

Verified via docs

Quick start

$ pip install yt-dlp

$ npx mcp-video-analyzer@latest

Use cases

↳Analyzing video bug reports (e.g., Loom recordings) to extract error messages and UI context.

↳Batch processing a folder of local video files for transcripts and visual summaries.

↳Deep-diving into specific video segments to understand exactly what happens at a given moment.

↳Getting quick summaries or transcripts from platform videos without full download.

↳Integrating with AI assistants (e.g., Claude) to enable natural language video analysis capabilities.

How it compares

≈mcp-video-analyzer sits in the Vision / Multimodal category, so it makes more sense to evaluate it alongside tools like ragflow instead of in isolation.

≈If your main need is closer to "Analyzing video bug reports (e.g., Loom recordings) to extract error messages and UI context.", that use case is a better lens for comparison than broad feature checklists alone.

≈mcp-video-analyzer uses a MIT license, and community traction are both easier to judge in category context.