A
licenseNot graded
qualityA
maintenanceMCP server that turns video URLs into transcripts and important keyframes locally, with no cloud or API keys.
123 npm
7
MIT
mcp-video-analyzer
by guimatheus92
Related Servers
Alternatives to mcp-video-analyzer
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityDmaintenanceAn MCP server for comprehensive video analysis — AI-powered transcription, visual frame analysis, and metadata extraction from 1000+ platforms.1MIT
- AlicenseAqualityCmaintenanceAn MCP server enabling Claude Code to analyze any video (local file, URL, or Jira ticket attachment) by extracting frame images and audio transcripts, or using Gemini for native video analysis.494 PyPIMIT
- AlicenseBqualityFmaintenanceMCP (Model Context Protocol) server that utilizes the Google Gemini Vision API to interact with YouTube videos. It allows users to get descriptions, summaries, answers to questions, and extract key moments from YouTube videos.413 npm6MIT
- FlicenseNot gradedqualityCmaintenanceExtracts transcripts, titles, descriptions, and comments from Loom videos via a remote MCP server.-
- AlicenseAqualityDmaintenanceAn MCP server that enables AI agents to analyze videos locally by extracting transcripts, detecting scene changes, and returning key frames.57MIT
TDQS
A4.4/5.0
Scored across 8 tools
Disambiguation4/5
Each tool has a mostly distinct purpose: analyze_video (full pipeline), get_metadata, get_transcript, get_frames, get_frame_at, get_frame_burst, analyze_moment, and analyze_videos. The main risk is overlap between analyze_moment and a manual combination of get_frame_burst + get_transcript, and between get_frames and get_frame_burst, but the descriptions clearly differentiate sampling modes and use cases.
Naming Consistency4/5
All names use consistent snake_case with two coherent verb families: analyze_* for heavy processing and get_* for targeted extraction. The only slight wrinkle is analyze_video vs analyze_videos (singular/plural batch pair), which is a conventional but potentially confusing distinction.
Tool Count5/5
8 tools is well-scoped for a video analysis server. Each tool earns its place by covering a distinct granularity (whole video, moment, single frame, frame burst, key frames, metadata, transcript, batch).
Completeness4/5
The surface covers the domain thoroughly: full analysis, metadata, transcript, multiple frame extraction modes, focused segment analysis, and batch processing. Minor gaps like a standalone OCR-only or audio-only extraction exist, but the main video-analysis workflows have no dead ends.
Maintenance
ActivityActive
ResponsivenessResponsive