A
licenseNot graded
qualityC
maintenanceMCP server enabling interaction with Twitter, YouTube, Instagram, and video processing via 31 tools, with local Whisper transcription and frame extraction for visual verification.
8
MIT
video-research-mcp
by Galbaz1
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TDQS
B3/5.0
Scored across 90 tools
Disambiguation2/5
With 90 tools across knowledge, research, video, audio, image, web, and device simulation, many boundaries overlap: video_analyze/content_analyze/media_perceive/vision_chat, research_web/research_deep/research_document/research_execute, and video_frame/video_frames/video_frame_by_query are especially confusable. The detailed descriptions help, but an agent still faces high misselection risk because many distinctions are workflow-specific and subtle.
Naming Consistency4/5
All names use snake_case and largely follow a domain-prefixed operation pattern (knowledge_ingest, video_analyze, research_web_status), which is readable and predictable by area. However, there are mixed noun-only and verb styles (knowledge_stats, media_info, job_status) and brand/acronym prefixes (mhs_, twelvelabs_), so it is not a perfectly uniform verb_noun convention.
Tool Count1/5
90 tools is far beyond the typical 3-15 scoped set and exceeds even the 25+ heavy threshold. The server spans many unrelated domains, making the surface unwieldy and creating extreme cognitive load for tool selection.
Completeness4/5
The surface covers research, knowledge, video/image/audio processing, web, and media assets with lifecycle operations such as ingest, search, acquire, export, edit, and cancel. Minor gaps exist, including knowledge object update/delete and collection management, but most workflows have supporting tools.
Maintenance
ActivityMaintained
ResponsivenessUnresponsive