"Information or resources related to Unity" matching MCP servers:

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.

Enables an AI agent to compile code and read errors, build and modify scenes, inspect objects, take screenshots, and run tests directly inside the Unity Editor through a single C# package with no separate Python or Node process.

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.

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.

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.

Gives DSH AI agents zero-config, one-shot control over the Unity Editor through 34 tools covering scene management, GameObjects, components, materials, prefabs, menu execution, test running, and console logs. Includes bridge health probing, config validation, and automatic reconnection after editor restarts.

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.

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.

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 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.

Lets AI assistants control the physical Return to Dark Tower board game tower via Bluetooth, enabling connection, calibration, sound, lights, drum rotation, seal breaking, and game sequences through natural language.

Enables two LLMs to play Tic-Tac-Toe against each other autonomously using a shared tool and an SSE relay. The server facilitates agent-to-agent communication by holding tool responses until the opponent makes a move, managing the game state in real-time.

Enables a bot to inspect, query, create, edit, and script Roblox Studio instances in token-cheap batches, plus run Luau, playtests, screenshots, and inputs through Roblox's official Studio MCP connection. It runs locally over stdio or an authenticated local HTTP endpoint, returning small structured answers instead of dumping whole games into context.