video-mcp
Related Servers
Alternatives to video-mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityBmaintenanceEnables local-first video editing for creators and AI agents through tools for auto-editing, shorts, captions, music, QC, transcription, reframing, rendering, and project handoff while footage stays on the user's machine.16 npm1MIT
- AlicenseAqualityCmaintenanceEnables AI agents to index videos locally once and then browse a compact text map of shots, transcript, silences and visual embeddings, so they can query moments, cut dead air, apply edit scripts, render with ffmpeg and run QA checks without spending tokens on frames. Pixels are only fetched when the agent explicitly peeks at labeled contact sheets.9MIT
- AlicenseNot gradedqualityCmaintenanceEnables local video understanding by generating numbered storyboard sheets with timecoded transcripts, zooming into selected segments, locating spoken phrases, probing media metadata, and tracking playback progress. It uses local ffmpeg and optional offline speech recognition.MIT
- FlicenseNot gradedqualityBmaintenanceEnables AI clients to watch and hear videos from local files or YouTube, Vimeo, and Loom links by returning timestamped key frames, a transcript, a contact sheet, and a combined timeline, with all processing done locally.-

VZT Video-Intelofficial
AlicenseNot gradedqualityDmaintenanceSelf-hosted video intelligence pipeline that turns video into structured, citable, queryable JSON scene graphs, enabling AI assistants to analyze and search across video libraries without re-processing.10 npm1MIT- AlicenseBqualityCmaintenanceEnables AI agents to ingest local videos, search moments using hybrid multimodal retrieval, retrieve shot context, and extract clips through JSON-RPC tools, all with local-only processing.51MIT
TDQS
Scored across 9 tools
Each tool has a clear primary role: analyze for full pipeline, transcribe for speech, ocr for text, frames for visuals, info for metadata, search for locating moments, and deps for setup. The only overlap is video_analyze, which combines several primitives, but its description explicitly directs when to use it, so agents should not be misled.
All tools share the video_ prefix and use lowercase, underscore-separated action-oriented names such as video_extract_frames and video_get_frame_burst. The main deviation is video_info, which uses a noun rather than a verb, but the pattern is otherwise consistent.
Nine tools is well-scoped for a video-processing MCP server. Each tool covers a distinct part of the video-understanding workflow, from dependency checking and metadata probing to transcription, OCR, frame extraction, and combined analysis, without unnecessary bloat.
The surface covers all major video analysis needs: metadata, transcripts, searching, frame extraction, OCR, and a one-shot summary. There are no obvious dead ends—dependencies are checked, and tools are designed to feed into each other (e.g., transcript timestamps to video_get_frame).