Nx Console is a visualization tool for Nx and Lerna monorepo projects, which enhances the AI function of the editor and provides project and workflow management.

Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.

mcp-hfspace is an MCP server that connects to Hugging Face Spaces, supporting various AI functions such as image generation, speech processing, and visual models, simplifying the integration with Claude Desktop.

EDT MCP Server is an MCP protocol server plugin for 1C:EDT, allowing AI assistants (such as Claude, GitHub Copilot, Cursor, etc.) to interact with the EDT workspace, providing functions such as project information query, error reporting, code analysis, metadata management, application debugging, tagging and grouping, and visual form screenshots.

Smart Tree is an ultra-fast directory visualization tool developed based on Rust. It is 10 - 24 times faster than the traditional tree command. It has features such as AI - optimized output, quantum compression, and intelligent search, and also focuses on environmental protection and energy conservation.

Zaturn is an AI-powered data analytics assistant that enables natural language queries to obtain business insights and visualization results without writing code.

The Image Gen MCP Server is a general AI image generation service that provides cross - platform and multi - model image generation capabilities for various LLM chatbots through the Model Context Protocol (MCP) standard protocol. It supports multiple image models from OpenAI and Google, enabling seamless conversion from text conversations to visual content.

The Korx Share MCP Server is a multi-functional MCP protocol server that, by integrating with the korx.org API, creates secure and shareable URLs for AI-generated visual content (such as charts, dashboards, and HTML pages), while maintaining content interactivity and performing risk filtering.

The Claude MCP server for GB Studio is used to create and modify GameBoy game projects through natural language prompts, supporting visual programming and AI-assisted development in educational scenarios.

The PubMed MCP Server is an interface service based on the Model Context Protocol, providing comprehensive access to the PubMed biomedical literature database for AI agents and research tools. It supports functions such as literature search, metadata acquisition, citation analysis, research plan generation, and data visualization, and is efficiently integrated through the NCBI E - utilities API.

PyMOL - MCP is a tool that integrates PyMOL with Claude AI through the Model Context Protocol (MCP), enabling control of molecular visualization and structural analysis through natural language.

An MCP server designed for AI development and QA, providing AntV documentation context and code examples of the latest APIs, supporting visualization libraries such as G2, G6, and F2.

This is a server based on the Model Context Protocol (MCP) that allows AI assistants to control the Unreal Engine game engine through the remote control API, enabling game development automation. It supports various functions such as asset management, actor control, editor operations, level management, animation physics, visual effects, and Sequencer control.

RuleGo-Server is a lightweight, high-performance, modular automated workflow platform based on RuleGo. It supports visual orchestration, hot updates, AI support, and multi-tenancy, and is suitable for various scenarios such as iPaaS, API orchestration, and IoT rule engines.

mcp-micromanage is a tool for controlling and tracking the workflow of AI programming assistants. It ensures that development tasks are executed as planned through mandatory frequent feedback and a visualization dashboard.

PageLens is an MCP server that provides visual feedback of front - end applications for AI programming assistants. It automatically takes screenshots, clicks, checks console errors, and visual differences through a headless browser, eliminating the manual loop in development.

MCPStudio is an AI tool integration platform similar to Postman, providing a visual interface for creating, testing, and managing Model Context Protocol servers, simplifying the connection process between AI systems and external services.

A .NET console application for monitoring MCP interactions in the Cursor AI editor, providing real-time log analysis, error debugging, and protocol interaction visualization functions.

This project is a list of MCP servers, covering multiple fields such as browser automation, tool integration, system automation, AI services, search, commands, workflow automation, social media, communication, customer data platforms, databases, knowledge storage, development tools, file systems, cloud storage, finance, location services, monitoring, research data, security, travel, data visualization, notes, marketing, identity, etc.

The Electron MCP Server is a server based on the Model Context Protocol (MCP), providing comprehensive automation, debugging, and observability capabilities for Electron applications. It implements AI-driven automation through the integration of the Chrome DevTools protocol, supporting real-time UI interactions, visual debugging, deep inspection, and development observability, and can work without modifying the target application's code.

OmniMCP is a tool that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It focuses on achieving in - depth understanding of the user interface through visual analysis, structured planning, and precise interaction execution.

Meta Ads MCP is a server based on the Model Context Protocol, used to interact with the Meta Advertising API through a standardized interface, enabling AI models to access, analyze, and manage Meta advertising campaigns, including obtaining performance data, visualizing advertising creativity, and providing strategic suggestions.

SQLGenius is an AI - based SQL assistant that converts user questions into SQL queries through natural language processing technology, supports BigQuery database operations, and provides interactive data visualization and schema exploration functions.

The Screeny MCP Server is a privacy-first screenshot service designed specifically for macOS, allowing AI agents to securely capture screenshots of pre-approved application windows and providing a visual context for development and debugging tasks.

Hubble is an AI-based data analysis tool for the Solana blockchain, supporting natural language queries and data visualization.

AMP is an open - ended memory protocol designed specifically for AI agents, mimicking the working memory and long - term memory structure of the human brain, providing persistent, semantically queryable memory management, and supporting visualization dashboards and MCP protocol integration.

An automated MCP service for Android devices built on Open - AutoGLM. It connects to the phone via ADB and invokes the visual model, and can access Xiaozhi AI for intelligent control.

OpticMCP is an MCP server that provides camera and visual tools for AI assistants. It supports multiple functions such as USB cameras, IP network cameras, screen capture, image analysis, and QR code decoding, implementing a universal camera interface.

A powerful tool for visualizing and analyzing directory structures, supporting AI assistants to efficiently navigate project files.

mirroir - mcp is an MCP server that allows AI agents to view the mobile phone screen in real - time, click on elements, and perform operations through the macOS iPhone mirroring function, providing AI with visual and interactive capabilities.

Orchestro is an AI development coordination platform that connects product managers, developers, and AI, transforming product ideas into production code. It coordinates the entire development process through task decomposition, dependency tracking, pattern learning, and real-time progress visualization, providing functions such as project management, task execution, knowledge base, and real-time dashboard.

This project is an MCP server for the dbt semantic layer, serving as a bridge between AI assistants (such as Claude) and the dbt semantic layer, supporting querying indicators through natural language, exploring data analysis, and visualizing results.

Graphiti MCP Pro is a memory storage MCP service and management platform enhanced based on the Graphiti framework, providing asynchronous parallel processing, task management tools, unified configuration management, broader AI model compatibility, and a comprehensive visual management system.

This project integrates Graphistry's GPU-accelerated graph visualization platform with the Model Control Protocol (MCP), providing advanced graph analysis capabilities for AI assistants and large language models, and supporting multiple data formats and network analysis functions.

An MCP server based on Gemini AI that provides advanced CSV analysis, data visualization, and thought generation functions, and supports integration with Claude Desktop.

An MCP server based on VChart, supporting AI assistants to generate multiple interactive charts and visualizations, including bar charts, line charts, pie charts, scatter charts, Sankey diagrams, etc., and supporting three output formats: image, HTML, and specification.

An MCP service that stores AI memories as Markdown files and integrates with Obsidian, supporting knowledge graph visualization.

A Python-based math agent system that integrates AI, Word, and Gmail functions to provide math calculation, visualization, and email reporting services.

OmniMCP is a project that provides rich UI context and interaction capabilities for AI models through the Model Context Protocol (MCP) and OmniParser. It supports functions such as visual perception, LLM planning, and action execution, enabling in - depth understanding and precise interaction with the user interface.

A Go code graph analysis tool that provides code understanding capabilities for AI assistants through the MCP protocol, supporting code structure visualization and intelligent queries