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Provide AI agents with interactive tables, charts, trees, and preview views.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Visuals MCP Server" yet — see the docs or source repo.
Using the Visuals MCP Server, render this sales dataset as an interactive table and bar chart with filtering and sorting by region.
An interactive data view with a table, bar chart, and filter/sort controls.
Use the Visuals MCP Server to create a master-detail view for support tickets: show the ticket list on the left and details plus status history on the right.
A ticket visualization interface where users can click items to inspect details and history.
Using the Visuals MCP Server, display the asset directory as a tree view and provide thumbnail previews plus a customizable list for image files.
An interactive asset browser with a directory tree, image previews, and a customizable list.
Create data visualizations from structured data as inline SVG or PNG files.
Visually test, debug, and analyze web interfaces with automated Playwright workflows.
Build local webpages for AI plans, reports, diagrams, and diff viewing.
Enable AI to understand images with vision analysis, detection, and color extraction.
Add image understanding to AI coding assistants for screenshot-based development analysis.
Analyze images through one MCP tool using any OpenAI-compatible endpoint.