Agent Cam MCP Tool
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- AlicenseAqualityDmaintenanceEnables AI agents to analyze images, extract text, compare images, and analyze video through any OpenAI-compatible vision model.4144 npm20MIT
- FlicenseAqualityNot gradedmaintenanceEnables AI agents to analyze images through vision AI providers (Gemini, OpenAI, Claude), performing tasks like image description, object detection with bounding boxes, region-specific analysis, and precise color extraction without consuming context window with raw pixels.4-
- AlicenseNot gradedqualityAmaintenanceEnables text-only AI agents to see images on demand by calling any OpenAI-compatible vision API for OCR, image analysis, structured extraction, image comparison, and GUI screenshot-to-accessibility-tree conversion.1MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI agents to see, analyze, and visually verify web page changes through pixel-perfect diffing, theme extraction, layout analysis, and interactive element detection.2 npmMIT
- AlicenseBqualityDmaintenanceEnables PTZ camera control with gimbal positioning, snapshots, and AI visual analysis for OBSBOT and UVC cameras. Supports autonomous scanning patterns and integrates with vision-language models for real-time camera analysis.71MIT
- AlicenseNot gradedqualityCmaintenanceGives any agent eyes and ears by indexing video, audio, and screen activity into searchable, timestamped frames, transcripts, and OCR text that answers can cite. It also evaluates frozen verification contracts over file digests, JSON values, SQL results, HTTP responses, and DOM state to return a deterministic verdict from a separate process.MIT
TDQS
Scored across 19 tools
Most tools target distinct purposes (capture vs analysis vs monitoring vs region management). Some overlap exists between capture_image, capture_sequence, and get_timeline, which all return frames but at different time semantics; descriptions differentiate them reasonably well. analyze_led and measure also stay distinct (LED state vs general quantitative metrics).
Nearly all tools use snake_case, most following a verb_noun pattern (list_cameras, capture_image, define_region, save_baseline). A few use bare verbs without a noun (measure, watch), which is a minor deviation but still readable and consistent in casing style.
19 tools is slightly heavy but each covers a genuine capability in a rich domain (capture, camera settings, region lifecycle, analysis, monitoring, baseline comparison, actions). No obvious redundancies, though the set sits at the upper end of the comfortable range.
The surface covers the full lifecycle: camera discovery, capture, settings, region define/list/delete/request, analysis (OCR, LED, measure), monitoring (watch, timeline, events, sequence), baseline save/compare, actions, and status. No significant gaps for the stated physical-inspection purpose.