#visualization

Mirror of

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.

hello world

data-viz-mcp-server

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

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 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.

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.

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.

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

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.

Data visualization library for streaming and static charts that exposes traditional charts but also maps and networks.

Description: A transparent desktop overlay that gives your AI agent a physical presence on screen. Your AI picks its own body from a library of avatars, colors, and expressions — you don't choose for it. Windows, $4.99, 7-day free trial, no account required.