CLEO is a portable brain and memory system designed for AI software development, providing project memory, verifiable sources, and agent - secure orchestration across repositories, model providers, and coding tools.

An MCP server that provides gamified workflows and problem-solving frameworks, containing more than 27 structured methodologies covering fields such as software development, project management, and operations research. It avoids analysis paralysis and scope creep through a systematic process.

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.

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 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.

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.

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.

env - mcp is a cross - platform system information acquisition toolkit that supports obtaining detailed hardware, software, and network environment information through the MCP protocol.

Omni_Engineer is an integrated software development efficiency system that achieves multi - functional collaboration through the FastAPI microservice architecture and the illegal - Agents platform, covering core functions such as code development, database management, version control, and team collaboration.

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.

An MCP server based on SQLite that provides complete software development lifecycle tracking functions, including epic, user story, task, defect, and test case management, and supports a Wiki documentation system, comment collaboration, and intelligent workflow suggestions.

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.

AnyPixel.js is an open - source hardware and software library for creating large - scale, non - traditional, interactive display devices. It provides a complete hardware design, firmware, back - end, and front - end framework, supporting developers to build web - based interactive pixel display systems.

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