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Automatically split scenes, generate subtitles, and extract thumbnail data for videos.
This MCP tool is listed in an official registry and is open source, with no declared credentials or remote endpoints, and no clear high-risk red flags are evident. The main cautions are local code execution and likely read/write access to media files, with limited documentation reducing audit clarity.
The material explicitly states that no keys or environment variables are required. No API key, OAuth token, or other sensitive credential is requested, so credential leakage or misuse risk appears low.
The material declares no remote host endpoints, and the README does not describe any external service connections or uploads of user video/subtitle data. Based on the available facts, no clear data egress path is identified.
The system flags this tool as executes-code. Given its scene splitting, subtitle generation, and thumbnail-related functions, it likely invokes local processing programs or executes related code. This is a normal capability for this type of MCP tool, but its runtime permission boundaries should be monitored.
As a video editing/processing tool, it would typically need to read input videos and may write subtitle files, split outputs, or thumbnail artifacts locally. The material does not show requests for system access beyond its stated function, but it should be confined to a dedicated working directory.
Positive signals include its official registry source, auditable open-source repository, and updates within the last year, all of which materially reduce overall risk. However, the missing README, undeclared license, and very low community adoption (0 stars) mean supply-chain transparency is acceptable but ecosystem maturity is limited.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.CSOAI-ORG/video-editing-ai-mcp" MCP server from askskill: Run: claude mcp add 'io-github-csoai-org-video-editing-ai-mcp' -- npx -y video-editing-ai-mcp
Analyze this video and split it into scenes, output each scene's start/end time, description, and transition suggestions.
A time-ordered scene list for editing and reassembly.
Generate subtitles for this video in timeline order, preserving spoken style while fixing obvious typos.
Timed subtitle text ready to import into editing software.
Extract key frame data suitable for a thumbnail and suggest title ideas and composition tips.
Candidate frames, title ideas, and visual composition guidance.
Let AI perform deterministic video edits through MCP tools.
Create and edit audio or video with natural-language MCP workflows.
Analyze videos with scenes, transcripts, visual descriptions, and storyboards.
Generate and edit images, create videos, and handle media from URLs or disk.
Edit, subtitle, and transcode videos through AI-driven FFmpeg workflows.
Analyze videos with frame extraction, scene detection, and metadata retrieval.