"Help with Unity game development" matching MCP servers:

Remote-control Unity Editor from any AI IDE via file-based IPC — 62 tools, zero dependencies

A Model Context Protocol server that enables Claude to interact directly with Unity projects, providing tools for script creation, asset management, and project building.

Provides AI assistants with comprehensive control over Unity Hub and Unity Editor through over 200 specialized tools for project management and scene manipulation. It enables users to perform complex tasks like script creation, asset management, and project builds using natural language commands.

A Unity Editor MCP server that gives Claude Code full control over Unity projects through 268 tools, 7 resources, and specialized AI agents. It enables AI-assisted game development by allowing Claude to see, create, modify, and inspect everything in Unity including scenes, GameObjects, scripts, and builds.

Exposes Unity Editor project context and manipulation tools to AI coding agents, enabling automated scene hierarchy analysis, script inspection, and asset management. It supports both read and write operations including GameObject editing, component configuration, and animation authoring within the Unity environment.

A bridge enabling seamless communication between Unity and Large Language Models via the Model Context Protocol, allowing developers to automate workflows, manipulate assets, and control the Unity Editor programmatically.

A Model Context Protocol server that integrates AI assistants like Claude and Cursor directly into the Unity Editor to automate game development workflows. It provides over 40 built-in tools for scene manipulation and project management, while offering a simple C# API for creating custom extensions.

Enables real-time control of Unity Editor through natural language commands, allowing AI to manipulate game objects, run automated tests, manage scenes, and perform batch operations with undo support.

A Unity Editor plugin that exposes Unity Editor capabilities to external AI agents via the Model Context Protocol. It enables AI agents to interact with Unity through tools for debugging, scene inspection, project management, and build operations.

Enables MCP clients to convert natural-language Unity shop item requests into validated nine-field CSV configurations, with deterministic resource checks and clarifying feedback for invalid inputs.

A TypeScript MCP server that lets AI assistants interact with the Godot 4.x game engine: not just editing files, but playing the game.

Enables AI clients to interact with Webvizio projects and development tasks through a standardized interface. Provides access to task management, screenshots, logs, and project details for streamlined development workflows.

Establishes feedback-oriented development workflows with Web UI and desktop application dual interfaces, enabling AI to confirm with users and consolidate tool calls into feedback requests to reduce costs and improve development efficiency.

Enables AI assistants to interact with Codecks project management for querying cards, creating tasks, and managing game development workflows. It supports comprehensive operations for cards, decks, spaces, and projects through natural language commands.

An MCP server that enables AI assistants to directly run, inspect, modify, and debug Godot game development projects through 110+ tools covering scenes, scripts, resources, runtime debugging, and asset management.

Enables AI agents to fully control the Forge Engine (Godot fork) by manipulating scene trees, modifying node properties, and managing game scripts. It allows agents to perform development tasks such as running projects, capturing screenshots, and executing GDScript through a WebSocket connection.

Enables programmatic control of the mGBA emulator for Game Boy, Game Boy Color, and Game Boy Advance games, including screenshot capture, memory reading, sprite data dumping, and custom Lua script execution for automated testing and game analysis.

Automates a three-phase development workflow: planning, spec generation, and iterative task execution with verification.

Provides intelligent command completion, validation, and contextual help for the Kafka Docker Playground CLI. Integrates with GitHub Copilot to offer auto-complete suggestions, detailed command assistance, and debugging support for playground operations.

An MCP server that gives AI assistants direct control over Godot 4 game development projects. It enables launching the editor, running projects, creating and editing scenes, writing GDScript, and inspecting assets through natural language commands.