A
licenseNot graded
qualityA
maintenanceLocal vision-capable MCP server that lets AI agents describe screenshots, UI, charts, and photos via vision and OCR tools, with support for multiple providers and automatic fallback.
6
MIT
local-agent-senses
by Scheme0
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TDQS
A3.8/5.0
Scored across 6 tools
Disambiguation4/5
Each tool targets a distinct medium or task: image understanding, text extraction, video analysis, audio transcription, and system diagnostics. Minor overlap exists between describe_image and analyze_video for video content, but descriptions clearly separate by media type.
Naming Consistency2/5
Tool names mix conventions: three use verb_noun (describe_image, analyze_video, transcribe_audio), one is a bare verb (transcribe), and two use a vision_ prefix (vision_status, vision_check). This inconsistency makes the set feel less predictable.
Tool Count5/5
Six tools is well-scoped for a multimodal sensing server. Each tool has a clear purpose and none feel redundant or unnecessary.
Completeness4/5
The set covers the core sensing lifecycle: image description, video analysis, audio/speech transcription, and health checks. Minor gaps like general audio analysis or dedicated frame extraction are absent but not essential for the stated purpose.
Maintenance
ActivitySlowing
ResponsivenessNo issues