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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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

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.

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

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

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 server based on plotnine that enables AI - driven data visualization through natural language, providing rich plotting templates, data transformation, and style customization functions.

Worker17 is a worker management system that combines 3D monitoring with the MCP protocol. It includes a web visualization interface and a server-side, supporting AI-assisted management through Claude Desktop. The project initially started as a joke and later evolved into a technical exploration of the MCP server.

An MCP server for Aranet4 CO2 sensors, supporting device scanning, data collection and storage, historical query, and visualization functions, and providing AI - assisted configuration.

NetBrain MCP is an open-source network operation and maintenance platform that connects large language models with network devices through the Model Context Protocol, enabling AI-driven network configuration, diagnosis, and management. It also provides a professional Web terminal interface and network topology visualization functionality.

A Rubik's Cube solving server based on the MCP protocol, providing functions for AI agents to manipulate the Rubik's Cube, real-time 3D visualization, and solving process management.

The ROS 2 MCP Server is a model context protocol server designed for the ROS 2 system, enabling AI agents such as GitHub Copilot to monitor, debug, and manage ROS 2 nodes, topics, services, and the TF2 framework, providing real-time interaction and system visualization tools.

This project demonstrates how to integrate a Model Context Protocol (MCP) server with multiple LLM agent frameworks, including Google ADK, LangGraph, OpenAI Agents, and Pydantic - AI. It connects different LLM providers through a standardized interface and uses Logfire for tracking and visualization.

An interactive visualization server based on the MCP protocol, providing rich visualization components for AI agents, including tables, image previews, master-detail views, tree structures, and draggable lists.

A knowledge graph builder that uses a local AI model to convert text or web page content into structured knowledge graphs, supporting large-scale content processing, real-time visualization, and integration with Neo4j and Qdrant databases.

Agent-Skill-Kit is a local-first skill framework designed for AI agents. It does not require API keys or registration and provides localized skills for agents such as Claude and Copilot through the MCP protocol, including code visualization, technology information acquisition, skill generation, and other functions.

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

The LinkedIn Job Posts Hunter MCP Server is a tool for automated LinkedIn job post search and management. It uses an AI assistant to call the Playwright browser automation tool to search for LinkedIn posts, saves the results to a local SQLite database, and provides a React visualization interface for post management and application tracking.

A data analysis and research MCP server based on the Gemini Flash 2 AI model, providing data parsing, AI analysis, visualization reporting, and automated email sending functions

Worker17 is a worker management system that combines 3D monitoring and the MCP protocol, including a Web visualization interface and server components, and supports AI-assisted management through Claude Desktop.

This project is an MCP server for the dbt Semantic Layer, serving as a bridge between AI assistants and the dbt Semantic Layer, supporting natural language queries for metrics, exploration of data analysis, and visualization of results.

MCPlanManager is a task management system designed for AI Agents, supporting the MCP standard and providing functions such as task plan initialization, execution, persistence, and visualization. It supports two deployment methods: uvx and Docker.

The MITRE ATT&CK MCP Server is an AI - native threat intelligence tool that provides comprehensive access to the MITRE ATT&CK framework through the Model Context Protocol. It has the ability to query over 200 techniques, over 140 threat groups, and over 700 software entries, supports the generation of ATT&CK Navigator visualization layers, and is designed for security teams and AI agents.

JupyterMCP is an integration project that connects Jupyter Notebook with Claude AI, enabling bidirectional communication via the Model Context Protocol and supporting AI-assisted code execution, data analysis, and visualization operations.