How do I install mcp-video-analyzer?

Its README did not state an install command plainly enough for us to quote one, so we do not guess. The repository has the instructions: https://github.com/guimatheus92/mcp-video-analyzer

Is mcp-video-analyzer official and is it maintained?

We found nothing naming it as a vendor’s official server. Its repository has 100 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-21.

What licence does mcp-video-analyzer use?

The repository declares the MIT licence.

InfratoApp / Resources / MCP servers / mcp-video-analyzer

mcp-video-analyzer

mcp-video-analyzer is an MCP server, listed under files & storage. Its repository has 100 GitHub stars and is licensed under MIT; we last read it on 2026-10-22.

Analyzes videos from various sources including YouTube, Instagram, TikTok, Loom, X, Vimeo, direct URLs, and local files, generating transcripts, key frames, OCR text, and metadata for AI agents.

Install

MCP servers are packaged differently from each other -- some run via npx, some as a Docker image, some as a plain script you clone and run. mcp-video-analyzer’s own README did not state one plainly enough for this page to quote it rather than guess, so it will not guess. The repository below states it.

Read mcp-video-analyzer’s own install instructions ↗

What it reaches, and what it needs

Reaches

○ not recognised

Credential

○ none found

Maintenance

Stars

100

State

listed

Licence

MIT

From the repository

MCP server that turns any video — YouTube, Instagram, TikTok, Loom, X, Vimeo, direct URLs, local files — into transcripts, key frames, OCR text, and metadata for AI agents.

View on GitHub ↗2026-10-22

What mcp-video-analyzer can do

8 tools documented in its README. An AI client calls these by name.

analyze_video: Full analysis: transcript + key frames + OCR + timeline + metadata
analyze_videos: Batch version, one structured result per source (resumable)
get_transcript: Transcript only (native captions or Whisper fallback)
get_metadata: Metadata + comments + chapters, no download
get_frames: Key frames only (scene-change or dense 1 fps)
analyze_moment: Deep-dive on a time range (burst frames + transcript + OCR)
get_frame_at: Single frame at a timestamp
get_frame_burst: N frames across a narrow window (motion/animation)

Read from the README; names are kept only if the README contains them.