"A platform or tool 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 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.

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 play Disney Lorcana TCG matches over MCP, with tools for card search, deck validation, match creation, state observation, legal actions, and moves. Supports AI-vs-AI play and a live spectator board.

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 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 a language model to access D&D 5e rules, reference data, and campaign state through MCP, with tools for dice rolls, encounters, lookups, and persistent notes.

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.

Connects AI assistants to your Argo campaigns via the Model Context Protocol. Once configured, your AI assistant can read and write campaign lore, look up character details, and interact with Argo data directly from the chat interface.

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.