Analyze one or more images with a vision model and return plain text. Use for general Q&A when the host model cannot see images. Supports single image or multi images (image 1, image 2, ...).

Produce a detailed textual description of one or more images so a text-only model can reason about them. Prefer for general scene/UI understanding and multi-upload context dumps.

Extract readable text from one or more images (screenshots, documents, diagrams, error dialogs). Multi-image calls return a section per image label.

Compare two or more images and explain similarities/differences. Use for "compare image 1 and 2", before/after, A/B UI, design variants, or sequential screenshots.

Answer a question that refers to specific uploads by label ("refer image 1 and 2", "only the second screenshot", "both figures"). Grounds every claim in image labels.

Inspect UI screenshots: layout, components, states, copy, errors, and likely UX/accessibility issues. Accepts one screen or a multi-step flow.

Read charts, graphs, plots, tables, and dashboards. Extracts axes, series, trends, and key values (marks estimates when exact pixels are unclear).

Explain architecture diagrams, flowcharts, sequence diagrams, ERDs, UML, whiteboards, and similar figures for a text-only agent.

Extract structured data (JSON) from one or more images: forms, receipts, IDs, tables, invoices, labels. Optional schema steers field names.

Show which vision provider/model this MCP server is configured to use, plus image limits.