ИИ-агенты
godot-ai
Production-grade MCP server for Godot — let AI build scenes, edit scripts and wire your game live
★ 2,9 тыс. звёздMIT
Смотреть руководство →unity-mcp — проект с открытым исходным кодом из категории «ИИ-агенты» от CoplayDev (CoplayDev/unity-mcp на GitHub). У него 14 772 звезды на GitHub и 1 537 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 7 октября 2026.
Bridge AI assistants to the Unity Editor via MCP: manage assets, scenes, scripts and tasks.
Make sure you are on Unity 2021.3 LTS or newer (up to 6.x) and have Python 3.10+ available via uv.
In Unity's Package Manager, add the package from its Git URL (or via OpenUPM), which installs the MCP for Unity bridge into your project.
Open Window, then MCP for Unity, then Configure All Detected Clients so your AI tools can connect to the editor.
Ask your assistant something concrete - the README's example is 'Create a cube at the origin and add a Rigidbody' - and watch it appear in the editor.
A focused tool catalog covering scenes, GameObjects, assets, scripts, tests, profiling and builds, browsable in the project's tool documentation.
Claude Desktop and Code, Cursor, VS Code, Windsurf, Cline, Gemini CLI, local LLMs and more - any client that speaks MCP.
Create scenes and GameObjects, edit C# scripts and automate game-dev workflows by describing what you want.
Organize tools into groups such as vfx, animation, ui and testing to give an assistant exactly the capabilities a task needs.
Multi-instance routing supports working across more than one open Unity project.
Script edits can be validated with Roslyn, and a remote-hosted server option with authentication is available for advanced setups.
Clone the Unity MCP source if you want to develop on it; most users install the package inside Unity instead.
git clone https://github.com/CoplayDev/unity-mcp.git
cd unity-mcpIn Unity: Package Manager, Add package from git URL, using the package path from the README.
https://github.com/CoplayDev/unity-mcp.git?path=/MCPForUnity#mainAlternatively add the package with the OpenUPM CLI, then configure your clients from Window, MCP for Unity.
openupm add com.coplaydev.unity-mcpIt is a CoplayDev open-source project, sponsored and maintained by Aura; it is not affiliated with Unity Technologies.
Yes. MCP for Unity is free and MIT-licensed. Aura also offers a separate premium assistant product, which is optional.
The bridge itself needs no key; the AI assistant you connect (such as Claude or a local LLM) uses whatever account or model you already have.
Unity MCP connects external assistants you already use to the editor through the open MCP standard, rather than being a single built-in assistant tied to one provider.
Add the package in Unity's Package Manager from the git URL, run Configure All Detected Clients, and send your first prompt from your MCP client.
Production-grade MCP server for Godot — let AI build scenes, edit scripts and wire your game live
Connect your Zotero research library to Claude and other AI assistants through MCP.
Ghidra MCP server with 200+ tools that let AI assistants drive real reverse-engineering work
Shrimp Task Manager: an MCP server that turns natural language into structured, dependent dev tasks.
An open-source auth gateway connecting 1,500+ SaaS providers to AI agents via SDK, CLI, MCP and HTTP.
An MCP-native AI coding agent and runtime in a single binary.
Другие проекты из категории «ИИ-агенты» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если unity-mcp вам не подходит.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
DeepSeek's plugin-based agent harness where everything is a plugin.
Соседние проекты из категории «ИИ-агенты» в каталоге, ближайшие по числу звёзд к unity-mcp — продолжайте изучать полку по обе стороны от него.
Microsoft's R&D-Agent: LLM agents that automate data-driven research, Kaggle modelling and LLM fine-tuning.
A framework for building realtime voice AI agents 🤖🎙️📹
Open-source hub of integrations, SDK and CLI for building and deploying GPT/LLM chatbots and agents.
Secure sandboxes where AI agents run real code.
Turn messy documents into clean, structured data for language models.
Physical Intelligence's open vision-language-action models (pi0, pi0-FAST, pi0.5) for robot policies.
Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.