OpenSumi is a framework that helps quickly build AI - native IDE products. It supports cloud and desktop development environments and provides rich example projects and templates.

ACI.dev is an open-source AI agent tool infrastructure that provides multi-tenant authentication, permission management, and dynamic discovery functions for over 600 pre-integrated tools. It supports calls through a unified MCP Server or a lightweight SDK, simplifying the development of production-level AI agents.

Corbat MCP is an AI coding standards server that injects team coding specifications before the AI generates code through the MCP protocol, ensuring that the generated code meets production standards, security requirements, and passes the code review. It supports multiple programming languages and development tools.

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 is a curated list of resources for the Model Context Protocol (MCP) ecosystem, covering multiple categories such as official resources, development tools, MCP servers, web integrations, databases, blockchains, AI integrations, voice, mobile applications, development environments, security testing, productivity tools, and system tools.

The Godot MCP Skill System is a complete set of AI-assisted game development tools, including 11 professional skills, covering the entire development process from project creation to product release. Users can let AI automatically call the corresponding tools to complete complex tasks through natural language descriptions.

The MCP Skill Server is a tool for creating, testing, and deploying AI assistant skills in a local development environment. It supports the deterministic execution of skills through fixed entry points, facilitating seamless migration from the editor to the production environment.

Context Apps MCP is an AI-driven productivity suite that connects to-do lists, ideas, journals, and timer apps via the Model Context Protocol, providing intelligent task management, creative development, journal analysis, and time optimization functions.

Bilt MCP Server is a tool designed specifically for AI agents, providing 8 powerful tools through the Model Context Protocol, enabling AI to independently create, build, and deploy production-ready mobile applications, supporting full application development lifecycle management.

This project uses the Quarkus framework and the Model Context Protocol (MCP) to implement an intelligent agent application based on multiple MCP servers. It combines LangChain4j to provide functions such as AI dialogue, restaurant recommendation, and Slack notification, and supports deployment in development and production environments.

This is an AI Development Assistant MCP Server project that provides intelligent coding assistance tools, including code architecture generation, UI screenshot analysis, and code review functions. It is mainly used for tutorial demonstrations rather than production environments.

PydanticAI is a Python agent framework developed by the Pydantic team, aiming to simplify the development of production-grade applications based on generative AI. It supports multiple AI models, integrates Pydantic validation and structured output, provides a dependency injection system, streaming responses, and graph support, and seamlessly integrates with Pydantic Logfire. It is suitable for building AI applications that require type safety and efficiency.