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.

PAELLADOC is an AI - first development framework that revolutionizes software development in the AI era by implementing the Model Context Protocol (MCP) and five major philosophical principles.

RhinoMCP is a tool that connects Rhino 3D modeling software with AI agents. It enables two - way interaction through the Model Context Protocol and supports 3D object operations, document inspection, and script execution.

adb - mcp is a proof - of - concept project aiming to provide an interface for LLMs through the MCP protocol to create an AI agent for controlling Adobe tools (such as Photoshop and Premiere). This project includes the MCP server, Node command proxy server, and Adobe application plugins, supporting natural language instruction operations on Adobe software and suitable for image and video editing automation.

An AI-assisted software development workflow tool based on specification-driven development, providing a real-time dashboard to monitor project progress and document management.

Jarvis MCP is a browser-based voice conversation tool that allows users to have natural voice conversations with AI assistants through a microphone. It supports voice recognition in more than 30 languages and remote access, and no additional software or API keys are required for installation.

The Vulners MCP Server is a tool that provides access to the Vulners vulnerability database through the Model Context Protocol (MCP), supporting direct query of vulnerability information, CVE search, security bulletin analysis, and software package audit in AI assistants such as Claude Desktop.

Spec Workflow MCP is a tool that guides AI to systematically complete software development through a structured workflow (requirements → design → tasks) to ensure that code implementation is consistent with business requirements.

KiCAD MCP is a protocol project that realizes AI - assisted PCB design. It controls the KiCAD software through natural language to complete operations such as circuit board design, component placement, and routing.

A server based on the MCP protocol, used to integrate Codelogic's software dependency data into AI programming assistants, providing code method and database impact analysis tools.

The Socket MCP server is a Model Context Protocol service for dependency security scanning, providing security scores and vulnerability detection functions for software package ecosystems such as npm and PyPI, supporting AI assistant integration and multiple deployment methods.

This is a monorepo containing Model Context Protocol (MCP) software packages and products, mainly providing a fully functional MCP server that enables AI assistants to interact with SWI - Prolog, the file system, and an extensible plugin system.

The Product Requirement Prompt (PRP) is a structured prompt that combines the goal and rationale parts of a traditional Product Requirement Document (PRD) and adds AI key layers (context, implementation details and strategies, verification gates), providing everything needed for an AI coding agent to build a working software vertical slice.

An MCP server integrating the Vibe Coding method and knowledge graph technology, using the Kuzu graph database for AI-assisted software development, supporting multi-language code analysis and enterprise-level security performance.

SkyDeckAI Code is an MCP server that provides a comprehensive set of AI-driven development tools, including file operations, code analysis, execution, web content retrieval, search, etc., aiming to enhance the auxiliary capabilities of AI in software development.

AI Expert Workflow MCP is a model context protocol server based on the OpenRouter API. Through three AI expert roles of product manager, UX designer, and software architect, it provides a complete workflow solution from product planning to technical implementation. The project supports independent generation of PRD documents and can also be integrated with Task Master for task management.

Vibe Coder is an MCP server designed to enhance the software development capabilities of AI assistants by integrating multiple development tools and AI capabilities.

Zotero - MCP is a Python server that implements the integration of the Model Context Protocol (MCP) with the Zotero literature management software, enabling AI assistants to access and query users' Zotero literature libraries.

BoostSecurity MCP is a security tool for protecting the AI agent development workflow. It prevents supply chain attacks by verifying the security of third - party software packages and supports multiple programming languages and package ecosystems.

The first open-source MCP server that enables full-featured AI control of a remote macOS system without the need to install additional software, providing complete desktop operation capabilities.

Vibe Coder is an MCP server that provides powerful software development tools for AI assistants, including code generation, research, planning, and project scaffolding functions.

KiCAD MCP is a protocol tool for AI - assisted PCB design, which controls the KiCAD software through natural language to complete circuit board design.

The Moneybird MCP Server is a protocol service that connects AI assistants with Moneybird accounting software, providing contact management, financial data access, and business operation functions.

This is an MCP server project based on Node.js. It integrates AI assistants with the Bouyomi-chan voice synthesis software through the Model Context Protocol to provide text-to-speech functionality.

An AI prototype design tool based on HTML that allows you to quickly build software prototypes without using Figma/Axure. It supports features such as navigation bars, marker decoupling, and page instructions.

This project implements a full-stack AI agent system inspired by the model context protocol, including a React front-end and a FastAPI back-end. The back-end serves as an AI coordinator, using Google Gemini to parse natural language instructions, safely call the file system, browser, or GitHub tools to perform tasks, and return the structured results to the front-end. The system focuses on software development scenarios, providing secure sandbox file operations, real-time web browsing, and repository inspection functions, and visualizing the tool call process.

Intellistant is a high-performance multi-agent AI framework built on C++23, supporting MCP protocol tool calls and agent collaboration, designed for software development automation.

The MCP server is a platform that supports AI - based autonomous software development. It provides functions such as file operations, network requests, database queries, Git management, and system command execution, enabling full - process automated development from concept to testing.

An MCP server project that uses Codelogic's software dependency data in an AI programming assistant to provide a code impact assessment tool.

zPlanner is a command-line project management tool focused on software development projects. It has an AI-assisted development context memory function, supports hierarchical task management, and HTML report generation.

MCP-Blender is a server project that connects Blender and Claude AI, enabling interactive control between AI and 3D modeling software through the Model Context Protocol, and supporting parametric design and associative design.

The MCP Server Starter is a server startup project that provides learning resources for AI - assisted software development and is associated with multiple developer tool projects.

AiSpire is an AI intelligent interface developed for Vectric Aspire/V-Carve CAD/CAM software, which realizes AI-driven design and machining functions through the Lua plugin and Python MCP server.

The AiDD MCP Server is a service that provides comprehensive tools for AI-driven development workflows, including file operations, code analysis, Git management, code execution, and system information retrieval. It aims to enhance the auxiliary capabilities of AI in software development.

This is an MCP server developed for QuickFile UK accounting software, providing more than 40 tools to enable AI assistants to fully access functions such as invoices, customers, purchases, banks, and financial reports.

A service based on the Model Context Protocol (MCP) for querying software End-of-Life (EOL) dates and support status, helping AI assistants provide accurate software lifecycle and security status information.

zPlanner is a command - line project planning tool focused on software development management, providing task hierarchy, progress tracking, and HTML reporting functions. It is especially designed with a context memory system for AI - assisted development.

This project demonstrates how to integrate Claude AI into the development process through the MCP protocol, including an MCP server and a to-do application demonstration to achieve AI-assisted software development.

The Grasshopper MCP server enables natural language interaction between AI models and the Rhinoceros/Grasshopper parametric design tools, supporting the connection between large language models and design software through the HTTP/WebSocket protocol.

A service based on the Model Context Protocol (MCP) that provides a standardized interface for AI assistants to interact with the LAMMPS molecular dynamics simulation software, supporting simulation setup, running, monitoring, and analysis.