#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

Visual testing tool for MCP servers

hello world

data-viz-mcp-server

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)

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

MCP server for visualizing molecules in Claude Desktop :)

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.

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.

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

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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.