Atlas Vision MCP
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- AlicenseNot gradedqualityAmaintenanceEnables AI assistants without native vision to analyze screenshots, code errors, UI, documents, and OCR images by routing requests to multiple vision model providers. It supports a unified image-understanding tool with local files, remote URLs, and Data URIs.866 npmMIT
- AlicenseAqualityCmaintenanceEnables 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.41MIT
- 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-
- AlicenseAqualityCmaintenanceGives text-only coding agents the ability to 'see' images, videos, and screenshots by routing them to a vision model and returning structured text.821 npm1MIT
- AlicenseAqualityAmaintenanceEnables text-only AI coding agents to analyze images and videos via vision-capable models (Gemini, Grok, OpenRouter), returning text descriptions for reasoning.221 npmMIT
- AlicenseAqualityCmaintenanceConnects a text-only coding agent to an OpenAI-compatible vision model so it can analyze images, screenshots, and UI mockups. Provides tools for general image understanding, OCR and code transcription, error-screenshot diagnosis, technical diagram and chart interpretation, UI-to-code/spec generation, and expected-versus-actual UI comparison.7351 npmMIT
TDQS
Scored across 11 tools
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.
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.
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.
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.