Video Vision MCP Server
video-vision-mcp
PyPI
v0.5.1
Published by kitdevua — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
MCP server that turns any video (local file or URL) into frames + transcript for Claude.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 7 = 93. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −6 | capability blast radius (high) — client exposure if the model is manipulated |
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 3
high Shell/command execution in server code (src/video_vision_mcp/backends/tier1_local.py)MTC-SRC-002
In the server's implementation (`src/video_vision_mcp/backends/tier1_local.py:43`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: / "out") proc = subprocess.run( [cli_path, "-m", str(model_path), "-f", str(wav), "-oj", "-of", pref
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server src/video_vision_mcp/backends/tier1_local.py
high Shell/command execution in server code (src/video_vision_mcp/backends/tier2_cloud_asr.py)MTC-SRC-002
In the server's implementation (`src/video_vision_mcp/backends/tier2_cloud_asr.py:28`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: with_suffix(".mp3") subprocess.run( [ffmpeg, "-hide_banner", "-loglevel", "error", "-i", str(wav),
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server src/video_vision_mcp/backends/tier2_cloud_asr.py
high Shell/command execution in server code (src/video_vision_mcp/media/ffmpeg_tools.py)MTC-SRC-002
In the server's implementation (`src/video_vision_mcp/media/ffmpeg_tools.py:31`): Spawning a shell/process is command-execution capability; with unsanitized tool input it is command injection / RCE. This is read from the code itself — not from the tool description — so a poisoned server cannot hide it behind honest-looking metadata.
Evidence: ure_ffmpeg() proc = subprocess.run( [ffprobe, "-v", "error", "-print_format", "json", "-show_format", "-show
Fix: Review this call path: confirm it never receives unsanitized tool input, constrain it, or remove it. Treat a server whose code reaches these sinks as high-capability regardless of what its tools claim.
Location: server src/video_vision_mcp/media/ffmpeg_tools.py
Tools 4
Each tool and what it can reach — statically extracted from the published source.
analyze_videono sensitive capabilityextract_frames_atno sensitive capabilityget_video_transcript_onlyno sensitive capabilitylist_recent_analysesno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (4 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 2
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v0.5.1 latest |
A 93/100 | 3 | 1.13.0 | 2026-08-25 |
v0.5.0 |
A 93/100 | 3 | 1.12.1 | 2026-07-27 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan video-vision-mcp --online --registry pypiMore in Design & Media
Turn designs into shipped parts: quote 3D printing, CNC, and decals, then check out.
Aleph's official SiliconFlow media-generation MCP server (image / video / TTS)
MCP server for image generation using Google Gemini AI
Ambience AI MCP Server - Generate images, videos, and audio through Model Context Protocol
MCP server exposing every endpoint of the AstroWay Calculation API as tools — natal, synastry, transits, Vedic dashas, Tarot, Numerology, Human Design, AI horoscopes — for Claude Desktop, Cursor and any MCP-compatible AI agent.
Audio-guide and trip-planning tools for 1,100+ cities from Audiala. Free, no API key.