#visual

Visual Studio Code

⏩ Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

MCP App that renders interactive Chart.js charts and dashboards inline in AI conversations. Supports bar, line, area, pie, doughnut, scatter, and radar charts with multi-chart dashboard grids.

AppContext is a personal MCP hub for macOS that aggregates all your MCP servers behind one endpoint, plus gives AI coding agents live visual context from your iOS simulator and Chrome browser. Configure MCP servers once, use them in Claude Code, Cursor, Windsurf, or any MCP client. Includes per-tool authorization policies (block, allow, rate-limit).

Visual testing tool for MCP servers

hello world

data-viz-mcp-server

MCP server for César Yagüe's Visual Medicine — 301 contemplative moving art works (seamless master loops up to 16K) across 13 collections, enriched with 109 deep vibrational capsules. 6 tools: search, browse, recommend for space, detail, overview, and direct inquiry to the artist.

Redesign interiors and exteriors with AI-generated home concepts, style exploration, and realistic visual transformations. Dream Home helps users and agents turn rough ideas, rooms, and facades into polished design directions faster. Requires a Dream Home MCP API key generated from the mobile app. Get X-API-Key from https://damdafa.sng.link/D4fnn/ehfr/bnb3

AI Development Extension for Visual Studio with support for UltraRepo with support for private AI LLMs and private MCP servers

This Model Context Protocol (MCP) server enables interaction with Yahoo Finance. It provides tools to retrieve financial data (current/historical prices, dividends, company info) and generate insightful visualizations such as market sentiment dashboards, portfolio tracking reports, and stock technical analysis charts. Designed for easy integration with MCP clients (Claude Desktop, VS Code, Cursor) and uses lightweight dependencies.

MCP Server for MSSQL (Microsoft SQL Server)

MCP server that generates stunning GitHub profile SVGs — animated terminals, neural tech maps, trophy cases, WakaTime charts, Spotify cards, and more. 16 tools, zero external dependencies, pure Python stdlib. Works with Claude Desktop and any MCP client. Includes live-fetch tools that pull real GitHub stats, WakaTime coding activity, and Spotify now-playing data via API.

Static Code Analysis and Visualization. Convert Code to UML and Flow Diagram and explain by AI.

MCP server for visualizing molecules in Claude Desktop :)

Description: Showcase MCP server for the Burnish Explorer — 34 tools across a fictional consulting company (projects, clients, team members, tasks, incidents, orders) demonstrating every rendering path: cards, tables, charts, stat bars, pipelines, and multi-section dashboards. Install with npx burnish -- npx -y @burnishdev/example-server.

An MCP server that enables interactive, browser-based user interfaces. It allows any MCP-aware AI chat client to generate charts, diagrams, visualizations, forms, calendars, and more — powered by context data, outputs from other tools, or synthesized by an LLM. The resulting UIs are fully interactive, editable, and customizable, making it easy to build dynamic workflows and visual experiences directly within the chat environment. Features: Chart Creation, Diagram Creation, Data Visualization, Form Generation, Calendar Creation, Date/Time Picker

A powerful MCP (Model Control Protocol) server for preprocessing and analyzing CSV files. This server provides a suite of tools for data manipulation, visualization, and analysis.

3D visualization of a document processing MCP(Model Contect Protocol) client-server workflow.

🤖 A Model Context Protocol server for generating charts using AntV.

Nody provides a powerful MCP Composer for creating and managing custom MCP servers. It enables you to personalize each tool's name and description to add context, helping agents use them with fewer tokens. It manages the configurations and secrets of MCP servers in one secure place, making it easier to deploy and scale your AI toolsets efficiently.

Explorer-first MCP client that renders any MCP server's tools as interactive UI — no LLM required, no tool-calling loop. Point it at any MCP server over stdio or SSE and get cards, tables, charts, forms, pipelines, and dashboards auto-generated from your tool outputs. Install with `npx burnish -- <your-mcp-server>`.

This is an Frontend development service middleware that can be used with webpack and vite. Its main function is to visualize the configuration, manage http(s)-proxy, and mock data.

MCP server for website change monitoring. Let your AI assistant track websites, detect changes, and compare snapshots with visual diffs.

MCP Server for Visual Studio bridges your IDE with AI coding assistants like Claude Code, Cursor, Windsurf, and Cline. Unlike file-based tools, this extension provides what AI agents CAN'T do alone: • IntelliSense & semantic code understanding (powered by Roslyn) • Symbol search - definitions, usages, inheritance hierarchies • Solution/project navigation and document outlines • Build execution with clean, structured error output • Async test execution with progress tracking • Solution-wide refactoring (rename symbols across all files) 20 tools designed for AI consumption with token-efficient output. Windows only. Supports VS 2022 (17.13+) and VS 2026.

Transform natural language into beautiful, interactive data visualizations. This server uniquely integrates powerful technologies like DuckDB, Ollama, and Plotly, streamlining complex data analysis workflows into a single, conversational experience within the Model Context Protocol (MCP) ecosystem. It addresses the fragmented workflow common in current MCP setups by providing seamless workflow orchestration, intelligent database switching, integrated statistical insights, and complete privacy-focused analytics through local Ollama processing.

A comprehensive Model Context Protocol (MCP) server with Streamlit client for intelligent data analysis, visualization, and web automation

🤖 A visualization Model Context Protocol server for generating visual charts using

Software architecture tooling for the AI age

A Model Context Protocol (MCP) server that provides tools for AI, allowing it to interact with the DataWorks Open API through a standardized interface. This implementation is based on the Aliyun Open API and enables AI agents to perform cloud resources operations seamlessly.

PyVista-based MCP (Model Context Protocol) server

Build, test, debug, and interact with desktop and mobile applications with the Tauri framework. Screenshots, DOM state, and console logs from your running app give the AI rich context to understand what's happening—and tools to interact with it.

Give AI agents a visual architecture canvas — build, read, and modify system design diagrams from Claude Code, Cursor, or any MCP client.

Render chart images from JSON configs via a simple HTTP API. Six themes, ten marks, PNG/SVG output. No client-side JavaScript, no installs – just a URL that returns an image. MCP tools include render, validate, list themes, and browse examples.