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Video Vision MCP

Analyze any video (local file or URL) into frames + transcript for Claude Code

Connector by KitDevUA · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/kitdevua-video-vision-mcp

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Analyze any video (local file or URL) into frames + transcript for Claude Code

Reviews

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools
4 read · 0 write · 0 deleteRead-only
Secrets
3 (API keys, tokens or passwords)
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 4

Read from the source code; the running server may list different tools.

Read 4 · Look things up without changing anything.

  • analyze_video
  • extract_frames_at
  • get_video_transcript_only
  • list_recent_analyses

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • GEMINI_API_KEY
  • GROQ_API_KEY
  • OPENAI_API_KEY

Other settings (environment variables or headers).

  • VIDEO_MCP_ENV

Files it touches

  • Any path the agent passes to its tools

Tools (4)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

  • analyze_video

    Analyze a video into frames + transcript + metadata. Provide exactly ONE source: - file_path: local path to a video file (already on disk). - url: direct/streaming URL (yt-dlp for known sites, HTTP otherwise). frame_interval: seconds between sampled frames (default 1.0 = one per second). Denser sampling: 0.5 / 0.25 / 0.1; sparser: 2 / 5; or any custom value. The total is capped by the frame budget so long/dense videos can't flood context. Ignored by the native Gemini backend (it ingests the whole video). The backend (local whisper.cpp / OpenAI / Groq / native Gemini) is chosen automatic…

  • extract_frames_at

    Extract frames at specific timestamps. timestamps accepts seconds ("12", "12.5") or "MM:SS" / "HH:MM:SS". Tier 1/2 return real frame images; with the Gemini backend you get a textual description of those moments instead (no local frame cutting).

  • get_video_transcript_only

    Fast path: return only the transcript text (no frame images). Same inputs and backend selection as analyze_video. With the Gemini backend, returns Gemini's analysis text instead of a plain transcript.

  • list_recent_analyses

    List previously analyzed videos from the cache, with the backend used for each.

Signals

Stars
0
Forks
0
Open issues
0
Weekly downloads
101
Last commit
Aug 6, 2026 (2 months ago)
Last release
Aug 6, 2026 (2 months ago)
Last package publish
Aug 6, 2026 (2 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.KitDevUA/video-vision-mcp
Version
0.5.1
Auth
API key
Packages
pypi video-vision-mcp
License
MIT
Repository
github.com/KitDevUA/video-vision-mcp
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
Official MCP Registrygithub-graphql
Cite this page

Video Vision MCP. Agent Mart. https://agentmart.dev/connectors/kitdevua-video-vision-mcp (last updated 2026-10-24)