The Trend Vision One Model Context Protocol (MCP) Server enables natural language interaction between your favourite AI tooling and the Trend Vision One web APIs. This allows users to harness the power of Large Language Models (LLM) to interpret and respond to security events.

Bridges Google Gemini and Alibaba Qwen vision models through CLI tools to provide image analysis capabilities from local files, URLs, or base64 data with automatic validation and configurable execution parameters.

MCP server wrapping Korea Tourism Organization's Medical Tourism Open API (data.go.kr) — 8 tools for certified medical tourism facilities in South Korea, via Streamable HTTP

A Model Context Protocol server for generating charts using AntV, This is a TypeScript-based MCP server that provides chart generation capabilities. It allows you to create various types of charts through MCP tools.

MCP server for interactive visualizations: tables, images, trees, lists, master-detail

VUDA - Visual UI Debug Agent Autonomous MCP Server for AI-Powered Visual UI Testing & Debugging VUDA (Visual UI Debug Agent) is an MCP (Model Context Protocol) server that empowers AI models to visually analyze, test, and debug web interfaces using Playwright. Any AI model, even without native vision, can inspect web pages, detect UI bugs, validate workflows, and measure performance automatically. --- Key Features Visual Analysis: Capture screenshots, map interactive elements, analyze page structure. Workflow Testing: Validate user journeys with step-by-step screenshots. Performance Monitoring: Measure load times, Core Web Vitals, and identify bottlenecks. API Testing: Validate backend endpoints and responses. Visual Comparison: Highlight UI changes between versions. Console Monitoring: Capture and log errors, warnings, and console output in real-time. --- Quick Start Install globally via npm: npm install -g visual-ui-debug-agent-mcp Or run directly: npx visual-ui-debug-agent-mcp Configure for Claude Desktop: { "mcpServers": { "vuda": { "command": "npx", "args": ["-y", "visual-ui-debug-agent-mcp"] } } } Supported Environments Node.js 18+ macOS, Linux, Windows --- Core Tools (Selection) Category Examples Visual Analysis enhanced_page_analyzer, screenshot_url, visual_comparison Workflow & Testing ui_workflow_validator, navigation_flow_validator, api_endpoint_tester Performance & Monitoring performance_analysis, console_monitor, sitemap_crawler Playwright Controls playwright_click, playwright_fill, playwright_screenshot Utility tunnel_helper, debug_memory --- Example Commands Screenshot: "Take a screenshot of https://example.com" Analyze Page: "Analyze the UI of https://myapp.com/dashboard" Test Login Flow: Navigate, fill credentials, submit, verify, and capture. Compare Versions: Highlight visual differences between two page states. Monitor Performance: Measure load times and identify bottlenecks. --- Why VUDA? Feature VUDA Advantage MCP Native Built for AI integration Comprehensive Toolset 30 specialized tools Works Without Vision Enables AI without native vision Autonomous Testing AI-driven, self-contained workflows Cross-Browser Support Playwright-powered Zero Config Works out of the box --- Contributing Fork the repo & create a branch. Commit and push your feature. Open a Pull Request. Licensed under ISC. Built with Playwright + Model Context Protocol by @samihalawa.

MCP server for VitalTrends — query your health data from Claude

MCP server for Chrome debugger protocol (Node.js)

MCP server helping models to understand your Vite app better.

MCP server helping models to understand your Vue app better.

Open a Vivid Business account from your AI chat via MCP.

MCP server for building Vue.js design systems - component analysis, documentation, variant generation, and design tokens

MCP server for creating and publishing VizFeed posts from AI assistants

Vizro is a low-code toolkit for building high-quality data visualization apps.

A zero-cost, unlimited Figma MCP server — no API key, no rate limits

Volatility, SRISK, CRISK, liquidity, and climate-risk data from NYU Stern's V-Lab.

MCP server for vLLM - expose vLLM capabilities to AI assistants

A modern web interface for managing and interacting with vLLM servers (www.github.com/vllm-project/vllm). Supports both GPU and CPU modes, with special optimizations for macOS Apple Silicon and enterprise deployment on OpenShift/Kubernetes.

Debug your AI agents

VL 视觉理解 MCP 服务 - 基于 tokendance 的 Qwen2.5-VL 模型

MCP server for Vlossom UI component library