The AI Development Assistant MCP Server is an AI - based code development toolkit that provides functions such as code architecture generation, UI screenshot analysis, and code review, specifically designed for Cursor.

napi is a tool developed by NanoAPI, aiming to automatically analyze software architecture complexity, support extracting functional modules from the codebase, provide both CLI and UI operation methods, and be compatible with mainstream CI/CD platforms to help developers optimize architecture design.

The Zen7 Payment Agent is the first practical implementation of a DePA decentralized payment agent. It adopts a multi - agent collaborative architecture, supports the A2A and MCP protocols, and provides multi - chain and multi - currency payment solutions for AI agents and Dapp applications, enabling automated cryptocurrency payments and LLM - driven intent recognition.

DB MCP Server is a multi-database supported server that implements the Model Context Protocol (MCP) and provides AI assistants with the ability to access databases in a structured manner. It supports MySQL and PostgreSQL, can connect to multiple databases simultaneously, automatically generates dedicated tools, and follows a clear architecture design.

This project demonstrates a real-time multi-tool agent architecture based on LangGraph and the MCP protocol. By decoupling agent orchestration and tool execution, it realizes a modular and scalable AI system. The MCP service supports multiple transport protocols (SSE/STDIO), allows AI agents to dynamically call remote tools, and has cross-language and cloud deployment capabilities.

A meta - function architecture server that supports AI to dynamically create and execute custom tools

MCP Agile Flow is an AI - assisted agile development workflow management system based on FastMCP, providing RESTful APIs and a resource - prioritized architecture, supporting natural language command processing and multi - IDE integration.

MCP-Diagram is a server tool that quickly generates various types of diagrams (such as architecture diagrams, UML diagrams, etc.) from text descriptions. It supports integration with AI assistants like Claude.

Octocode MCP is an advanced AI code assistant that provides intelligent search and discovery functions across the GitHub and npm ecosystems. It helps developers quickly understand codebases, analyze project architectures, discover security patterns, and supports enterprise-level security and cross-platform use.

ToolBox is an AI-driven automated tool development platform that provides modular architecture, AI-assisted tool generation, enterprise-level service integration, and real-time update functions.

The Swarms API is a REST API for building, deploying, and managing multi-agent systems. It supports multiple AI models and swarm architectures, providing functions such as real-time monitoring, batch processing, and task scheduling.

rag - mcp is an over - designed retrieval - augmented generation system that provides multiple text search modes (semantic search, question - answer search, style search) through a Python server. It uses PostgreSQL and pgvector to store text embedding vectors, supports interaction with AI agents, and has a complex but scalable architecture.

Archon is an intelligent system for autonomously constructing and optimizing AI agents. It demonstrates key principles of modern AI through iterative development, including agent reasoning, domain knowledge integration, and scalable architecture. The current version V4 provides a comprehensive Streamlit interface, supports Docker deployment, and integrates with MCP services for seamless docking of the AI IDE.

The Neural Child Development System is a breakthrough artificial intelligence framework that reconstructs the learning method of neural networks by simulating human psychological development stages (including cognitive, emotional, and social growth). This system integrates developmental psychology theories (such as Piaget's cognitive development stages and attachment theory) and neuroscience principles to build a complex architecture including perceptual processing, emotional regulation, memory systems, and psychological components, aiming to create AI with real emotional intelligence and natural development capabilities.

MCP Architect is a service that provides comprehensive architecture expertise, supporting multiple architecture fields through professional agents, resources, and tools.

An AI note application based on the MCP protocol, supporting a dual-server architecture and DynamoDB storage

Edit-MCP is a model context protocol server integrated with the Microsoft Edit tool, providing advanced file editing capabilities for AI systems and adopting a hybrid architecture that combines direct file operations and Edit integration.

The GoHighLevel MCP server is a fundamental project aiming to connect the GoHighLevel community with AI automation through the Model Context Protocol (MCP). It provides access to all sub - account level GoHighLevel API endpoints, supports 269 tools, covering multiple functional categories such as contact management, messaging, sales pipelines, and calendar appointments. The project emphasizes community collaboration, an open architecture, and educational resources, while also reminding users to pay attention to key issues such as AI security, rate limits, and data security.

A browser automation tool based on the MCP architecture that combines web scraping capabilities with LLM intelligence, supports Google search, intelligent web page content extraction, and AI processing, suitable for various website types.

AI development assistant toolkit that provides code architecture, screenshot analysis, code review, and file reading functions

A ready-to-use MCP server template that provides the ability to quickly set up a local AI-assisted development environment, with built-in documentation tools for various technologies and an extensible architecture.

Gaia-X is an enterprise-level AI application platform based on a new generation of AI paradigms. It solves the core pain points of enterprise AI products through an innovative technical architecture and provides core functions such as multi-agent collaboration, natural language RPA, and MCP protocol support.

MCP Server Semgrep is a server that complies with the Model Context Protocol standard, integrating the Semgrep static analysis tool with an AI assistant to provide code security analysis, quality improvement, and vulnerability detection functions. The project simplifies the architecture design, supports multi - platform operation, can be installed in multiple ways, and provides a rich set of code analysis functions.

GUARDRAIL is a security framework specifically designed for the large language model (LLM) application ecosystem, providing comprehensive protection especially for the Model Context Protocol (MCP). It uses a multi - layer architecture, including an information gateway layer, a context verification layer, a request control layer, an execution isolation layer, and an audit monitoring layer, aiming to prevent data leakage, unauthorized access, and resource abuse. This framework emphasizes progressive adoption, allowing developers to gradually enhance security while maintaining high performance and ease of use.

SolidPilot is an open-source SolidWorks AI assistant that uses a modular architecture to interact with local language models (such as Claude) through the MCP protocol, including technical components like the Python layer, C# adapter layer, and COM bridge.

Smart-Thinking is an advanced MCP server that provides a multi-dimensional, adaptive, and self-verifiable AI reasoning framework. It uses a graph-based architecture to achieve complex thinking connections, supports cross-platform operation, and is compatible with various MCP clients.

Memory Bank MCP is a project knowledge management system based on the Model Context Protocol (MCP). It helps teams manage project knowledge through AI - generated and structured documentation, including six core document types such as project goals, product context, system architecture, technical details, current tasks, and progress.

The openwrt-mcp-server is a lightweight and scalable MCP protocol server designed for OpenWrt embedded devices. It supports both MQTT and HTTP protocols, enabling two-way JSON-RPC communication between devices and AI systems, with security authentication and a modular architecture.

A distributed federated AI service runtime system supporting edge computing, providing a standardized protocol and a secure architecture to achieve cross-organizational AI system integration

The YaraFlux MCP Server is a YARA scanning server based on the Model Context Protocol (MCP), providing file YARA rule analysis capabilities for AI assistants. This project uses a modular architecture, integrates 19 MCP tools, supports YARA rule management, file scanning, secure storage, etc., and can be seamlessly integrated with AI assistants such as Claude Desktop.

This project demonstrates how to integrate the conversational AI capabilities of AWS Bedrock with relational databases through the MCP server architecture to achieve the function of querying databases in natural language.

Crawl4AI is an intelligent web crawler server based on the MCP architecture. It combines the Claude AI model to provide website content analysis and processing functions, supports customizable crawling depth and AI processing tasks, and is suitable for various scenarios such as research, content creation, and data analysis.

An AI-driven automated tool development platform that provides modular architecture, AI-assisted development, enterprise-level service integration, and real-time update functions.

MCP is an AI chat system based on a client - server architecture, which supports extending the functions of Claude AI through multiple dedicated servers (file system, Slack, Brave search), enabling it to intelligently access local files, Slack conversations, and real - time web information.

This project showcases an MCP service architecture based on Node.js, including backend API services, an MCP server, and a client-side AI chatbot. The MCP server standardizes the API access method, and the client implements the custom data storage function by integrating MCP capabilities.

An AI prompt management service based on TypeScript, adopting the MCP protocol and pnpm monorepo architecture.

Mindpilot MCP is a visual code analysis tool that generates architecture diagrams, code flowcharts, etc. through an AI agent to help developers understand complex code structures, and supports local processing and multi-client collaboration.

Createve.AI Nexus is an open - source project that bridges the gap between AI agents and enterprise systems by implementing the Model Context Protocol (MCP) standard. It provides secure, real - time data access and system integration capabilities. It supports multiple AI platforms, has an enterprise - level security architecture, and can connect various business applications, sensor data, and document management systems.

MCP is an AI chat system based on a client - server architecture that can connect multiple dedicated servers (file system, Slack, Brave search), intelligently analyze user queries, and automatically select appropriate data sources to provide services.

This project is a command - line interface (CLI) tool that integrates Arcee AI, TESS, and MCP services. It adopts the Clean Architecture and DDD design principles to provide an abstract layer for unified access to multiple artificial intelligence services.