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.

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.

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.

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.

This is a list containing a large number of open - source AI projects, covering multiple fields from natural language processing, image generation to automated workflows. These projects aim to help developers build various applications using AI technology, including chatbots, code - generation tools, data - processing systems, etc.

defold-mcp is an open-source Model Context Protocol (MCP) server designed to connect the Defold game engine with modern developer tools and AI-assisted workflows. It provides a set of automation tools for managing Defold projects, generating scripts and resources, debugging and analyzing projects, and supports integration with AI development tools such as Cursor.

The DBT CLI MCP Server is an AI coding agent service for interacting with dbt projects through standardized MCP tools

Rug-Check-MCP is an MCP server project used to detect potential risks of Solana meme tokens, helping AI agents avoid rug pull scams and unsafe projects. It retrieves token data through the Solsniffer API and provides structured analysis results, including the name, symbol, risk score, market capitalization, price, supply, risk details, and audit status.

Teamwork.com AI is an unofficial extension that integrates AI functions through the Model Context Protocol (MCP) Server to interact with Teamwork.com, supporting operations such as creating tasks and projects.

The Linear MCP Server is a custom - implemented Model Context Protocol server that provides tools for interacting with the Linear API, enabling AI agents to programmatically manage issues, projects, and teams through the Linear platform.

The Open Food Facts MCP server is an AI service that provides context information for food projects. It supports standard mode and developer mode, and includes various tools such as product search, nutrition analysis, and code library navigation.

An AI-native execution system based on Claude and the MCP protocol, which manages tasks, projects, and goals through natural language interaction, eliminating the context-switching friction caused by traditional productivity tools

An MCP server implementation for Asana integration, supporting AI assistants to manage Asana tasks, projects, and other resources through a standardized protocol.

The MCP Language Server project aims to provide development assistance tools such as accurate symbol definition, reference lookup, and diagnostic information for large code projects by integrating the features of the Language Server Protocol (LSP), addressing the limitations of LLMs when handling complex code.

mcp-server-linear is an intermediate server that connects client applications with the Linear platform, providing a standardized MCP interface to access and manage Linear resources such as issues and projects. It supports two authentication methods, API Key and OAuth, includes full CRUD operations, advanced search functions, and can be integrated with multiple AI assistants.

A Laravel Artisan command execution server based on the MCP protocol that allows securely managing local Laravel projects through an AI assistant.

The MCP server for Linear projects provides an interface for AI assistants to access Linear project management features.

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.

An MCP server that helps AI code editors find symbol definitions in TypeScript projects, which can locate the original definition positions and code snippets of imported symbols.

The TestRail MCP Server provides tools for interacting with TestRail, supporting direct management of test cases, projects, suites, and runs through MCP clients such as Claude AI.

GitHub template and configuration documentation, including various templates such as issue reports, feature requests, and educational improvements, as well as contribution guidelines and a code of conduct, aiming to maintain high-quality educational projects.

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.

Supabase MCP Server is a tool that connects Supabase projects with AI assistants (such as Cursor, Claude, etc.), enabling AI assistants to directly manage database tables, query data, and perform other functions through the Model Context Protocol standard.

A structured memory management MCP server based on Markdown files, designed for specific domain projects, continuously accumulating and organizing context information with AI assistance, suitable for scenarios such as travel planning and research projects.