A
licenseA
qualityB
maintenanceEnables AI agents to analyze images via user-configured cloud vision APIs (Gemini or OpenAI-compatible), returning structured results such as summaries, OCR text, and objects.
4
1
MIT
Atlas Vision MCP
by QuangThai
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TDQS
A4/5.0
Scored across 11 tools
Disambiguation5/5
Each tool has a distinct purpose: general image analysis, UI-specific analysis, comparison, diagnosis, region extraction, OCR (clipboard vs file), and a routing check. Descriptions clearly differentiate overlapping scenarios like analyze_clipboard vs analyze_ui_clipboard.
Naming Consistency5/5
All tool names follow a consistent verb_noun pattern in snake_case (e.g., analyze_image, ocr_clipboard, compare_images). The naming is predictable and descriptive, making it easy to infer functionality.
Tool Count5/5
11 tools is well-scoped for an image analysis server. It covers all core operations (analyze, compare, diagnose, OCR, region extraction) without unnecessary redundancy or missing essentials.
Completeness5/5
The tool surface is complete for its domain: it handles general images, UI screenshots, clipboard images, OCR, visual comparison, error diagnosis, region extraction, and a routing check for model capability. No obvious gaps for typical coding agent workflows.
Maintenance
ActivityMaintained
ResponsivenessNo issues