"Setting up a server for Unity development work" matching MCP servers:

Enables AI assistants to build and manage Unity projects directly through the Unity Editor, providing 150+ tools for scene creation, script generation, play mode control, input simulation, and performance analysis.

Enables MCP clients to inspect and modify a live Unity 6 Editor over stdio, handling scenes, GameObjects, components, scripts, prefabs, assets, console logs, and play-mode control. It also supports sandboxed C# execution and remote input hooks for AI-driven self-play and game-state snapshots.

A bridge between Unity and AI assistants that enables AI to interact with Unity game environments through a standardized interface for code execution, scene analysis, and runtime debugging.

Seamless automation and intelligent control over your Unity projects. By integrating with the MCP server and client, it allows AI agents or external tools to interact with your Unity environment—creating, modifying, and managing GameObjects, Components, Assets, Scenes, and more.

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.

MCP server for controlling the Unity Editor from AI clients. 140+ tools for scenes, GameObjects, components, assets, Shader Graph, PlayTest DSL, screenshots with visual diff, batch operations with Undo rollback, and in-editor chat. Token-efficient plain-text protocol.

Enables AI clients to control a Unity Editor with a small, token-efficient six-tool facade while retaining access to the full upstream Unity MCP operation catalog.

Lets AI agents inspect and control a running Broforce game through the Unity Inspector Mod, enabling modding, debugging, gameplay manipulation, and C# script execution.

Lets DeepSeek Harness AI agents directly control the Unity Editor through 34 tools for scene, GameObject, asset, prefab, menu, testing, and console operations, with automatic token authentication and connection management.

Enables MCP-compatible AI agents to connect to a Unity/Tuanjie editor's Codely Bridge to inspect project state and perform editor operations such as managing GameObjects and assets, executing C# snippets, reading the console, and taking screenshots.

Enables AI assistants to interact with Unity Editor, managing scenes, game objects, animations, materials, scripts, and more via natural language commands.

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.

Control Unity Editor from AI agents. 200+ MCP tools for GameObjects, Scenes, Assets, Materials, Prefabs, Terrain, Physics, Lighting, and more. Works with Claude, Cursor, Windsurf, VS Code Copilot — any MCP client. Zero config: just npx and go.

Enables AI agents to test Unity scenes and return review-ready receipts via a hosted remote MCP with tools for playmode checks and method invocation.

Enables MCP-compatible AI clients to inspect Godot project and editor state, observe opted-in running scenes, manage processes, and apply permission-scoped guarded edits. It starts read-only and exposes additional capabilities only through explicit command-line flags.

Enables AI assistants to understand Unity games and build mods by querying and acting on a combined knowledge base built from static analysis, online research, and an in-game runtime agent, with user consent required for any changes.

Automates the creation of React Three Fiber game projects with various templates (platformer, puzzle, endless runner, physics-based, arcade) and integrates with Linear for automated project management including sprints, tasks, and acceptance criteria.

MCP server that provides game design lenses and knowledge base docs to help AI assistants and programmers make better design decisions during game development.

An MCP server that empowers AI coding agents to work effectively with Minecraft mod development, providing static analysis of decompiled source code and runtime interaction with a running Minecraft instance.

Enables AI assistants to interact with and manage Minecraft servers through a standardized interface, supporting server monitoring, player management, log analysis, and command execution.