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.

The Supabase MCP Server is a tool that connects Supabase projects with AI assistants. It standardizes the interaction between large language models (LLMs) and external services through the Model Context Protocol (MCP), enabling functions such as database management, configuration acquisition, and data querying.

MCP Unity is a Unity Editor extension that implements the Model Context Protocol, allowing AI assistants to interact with Unity projects and providing a bridge between Unity and the Node.js server.

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.

MCP Unity is a Unity Editor extension that implements the Model Context Protocol. It bridges the interaction between AI assistants and Unity projects through a Node.js server, providing functions such as menu execution, object selection, and component update.

Apifox MCP Server is a service that provides the interface documentation of Apifox projects as a data source to AI programming tools, supporting code generation and document query.

This project provides a guide for integrating AI chat functionality into Android Studio, enabling developers to interact with code and projects using natural language, including functions such as code Q&A, modification, explanation, and debugging.

A Laravel Artisan command execution server based on the MCP protocol, which securely manages local Laravel projects through an AI assistant

This project provides seamless integration between the Unity Editor and the Model Context Protocol (MCP), enabling AI assistants to understand and operate on Unity projects in real-time, including accessing the scene hierarchy, executing code, monitoring logs, and other functions.

The Kanboard MCP Server is a model context protocol server developed in Go that enables seamless integration between AI assistants and the Kanboard project management system. It supports managing projects, tasks, users, and workflows through natural language commands.

Yamu is an experimental MCP server project aimed at enabling AI programming assistants to interact with Unity projects, providing compilation and testing functions, and supporting an automated edit-compile-debug cycle.

Zetmem is an AI-assisted memory server project based on the Zettlekasten method, aiming to provide a persistent context memory system for AI programming tools such as Claude, supporting code memory storage, retrieval, and intelligent evolution across sessions and projects.

The Hex MCP Server is a service that provides real-time Hex package version information for AI tools (such as Cursor), ensuring the use of correct and up-to-date package versions when adding dependencies in Elixir projects.

The Windows Command Line MCP Server is a secure intermediary service that allows AI models to interact with the Windows system under strict security control, including functions such as executing commands, creating projects, and obtaining system information.

The JSON Resume MCP Server is an AI-driven tool that automatically updates JSON resumes by analyzing users' code projects. It supports GitHub integration and OpenAI to generate professional descriptions.

The Alibaba Cloud Supabase MCP Server project connects Supabase projects with AI assistants through the Model Context Protocol standard, providing tools such as project management and database querying, and supporting the deployment and operation of Supabase services on the Alibaba Cloud platform.

The Pinecone Developer MCP Server is a service based on the Model Context Protocol standard, aiming to connect AI tools with Pinecone projects, providing functions such as document search, index configuration, code generation, and data operation.

Payload MCP is an AI - assisted tool server developed specifically for Payload CMS. It provides code generation, validation, project building, and query analysis functions through the standardized Model Context Protocol (MCP) to help developers more efficiently build and manage Payload CMS projects.

A Model Context Protocol (MCP) server based on the dbt CLI that provides a standardized interface for AI coding agents to operate dbt projects and supports the execution of all major dbt commands.

TPC Server is a backend service for recording and tracking the thought processes of AI agents or projects. It manages the associated data of thoughts, plans, and changes through structured logging and provides Web interface and API access.