"User interfaces (UI) or UI design resources" matching MCP servers:

Enables AI assistants to render interactive charts as generative UI inline in chat, including bars, lines, areas, donuts, tooltips, table views, and built-in series analysis.

Provides AI models with structured design guidelines and system prompts for creating consistent, high-quality interactive visualizations like charts, diagrams, and mockups. It enables on-demand loading of UI specifications to optimize token usage while ensuring visually polished and functional widget generation.

Interactive UI for Monarch Money inside claude.ai, running on Monarch's official OAuth. Provides interactive widgets for transactions, spending, and accounts with inline editing and broad data-tool coverage.

Enables agents to render shadcn-styled dashboards, forms, charts, and comparisons in a local browser via MCP tools.

Enables MCP-capable LLMs to generate and render ephemeral Prefab UI interfaces at runtime, with tools for generating UI code and searching Prefab components.

Enables AI models to generate interactive visuals including charts, diagrams, UI mockups, and SVG graphics from plain text prompts. This Windows-based MCP server serves as an intermediary to bridge AI tools with visual output capabilities.

A display-layer MCP server that renders text-game state — stats, inventory, locations, characters, dice results, and choices — as stable, themed cards in ChatGPT or Claude chats. It offers five visual skins and clickable option buttons that send the chosen action as the user's message, while leaving all rules and narrative to the AI.

A standalone stdio MCP server that exposes 13 resources, 3 prompts and 7 tools for assembling interactive, replayable HTML interfaces such as calculators, charts, maps, flowcharts and small apps. It returns the generated HTML document for the calling client to decide whether and how to display.

Enables AI agents to render interactive user interfaces such as forms, dashboards, charts, tables, and wizards directly in MCP-compatible clients. Supports structured data collection and richer interactions beyond text responses.

An MCP proxy server that enriches Longbridge's financial API with UI-enhanced tools. It transforms JSON responses into interactive dashboards such as stock cards, candlestick charts, and portfolio views for any MCP host.

Connects to SQL databases to execute queries and return results as chart images (PNG) visible in MCP clients.

Enables users to query enterprise sales data from a local SQLite database and investigate anomalies through an inline dashboard with human-in-the-loop review buttons.

Enables AI assistants to generate and render individual and composite Human Design charts, explore authorized chart and library data, and manage account usage and Website Builder projects with secure OAuth and entitlement filtering.

Enables transforming grounded AI answers into interactive information views such as comparisons, plans, checklists, timelines, and decision views, while preserving a plain-language fallback.

Enables an AI agent to generate and reconfigure real-time banking interfaces by exposing MCP tools that return UI schemas and personalized financial components based on customer context and situation. It supports dynamic situation detection, security rules, and demo profiles for adaptive dashboards.

MCP server that lets agents create, display, and export rich UI widgets (cards, dashboards, charts, forms) inline in conversations, with interactive iframe support in MCP Apps hosts and PNG image fallback for other clients.

Renders word-sized charts — sparklines, bars, bullets and 100+ more types — to self-contained SVG with generated alt text, small enough to sit inline in a model's reply or a table cell. Three tools: find the right chart for a question, get its wiring, and render it.

Converts DataFusion physical execution plans into editable Excalidraw diagrams or PNG images via a single visualize tool.

MCP server for AI Diagram Maker — generate software engineering diagrams from natural language, code, ASCII diagram, images, or Mermaid. Inline diagram rendering using MCP apps UI and diagram URL in responses. Works with Cursor, Claude Desktop, Claude Code, and any MCP-compatible AI.

Enables LLMs to generate visual summary reports from CSV datasets using MCP Resources, Tools, and Prompts, without exposing raw data to the model.