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Analyze local images for coding agents with markdown and structured evidence.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Atlas Vision MCP" yet — see the docs or source repo.
Analyze this local error screenshot, extract the error message and key UI elements, summarize the likely cause in Markdown, and return JSON with OCR text and supporting evidence.
A Markdown diagnostic summary plus structured JSON containing error text, UI regions, and evidence fields.
Inspect this local UI mockup, identify the main layout, buttons, and form elements, flag possible usability issues, and return a Markdown review plus a structured JSON checklist.
A UI review with layout identification, issue list, and element-level JSON data for programmatic use.
Analyze this local diagram, extract nodes, connections, and hierarchy, summarize the workflow in Markdown, and output JSON representing the elements and their relationships.
A written workflow summary and graph-structured JSON suitable for downstream automation.
Analyze screenshots, text, and UI mockups through one vision MCP tool.
Analyze screenshots, run OCR, and monitor vision workflows with local Ollama models.
Analyze local or remote images with vision LLMs and generate descriptions.
Capture app or webpage screenshots and analyze them with a local vision model.
Describe images, extract text, and run custom vision prompts on local files.
Capture screenshots and analyze visual bugs with written debugging reports.