About
A lightweight TypeScript-based MCP server template that enables seamless communication between Unity and external tools. It provides a foundation for building custom tools, handling result messages, and expanding functionality in Unity projects.
Capabilities
Overview
The Unity MCP Template is a lightweight, TypeScript‑driven Model Context Protocol (MCP) server that bridges the gap between Unity game engines and AI assistants such as Claude. By exposing a set of modular tools, prompts, and sampling endpoints, the server lets developers inject real‑time game state, custom logic, or visual feedback directly into AI workflows. This solves the common pain point of integrating complex Unity scenes with conversational agents, enabling richer interactions that can read and modify game objects on the fly.
At its core, the server exposes a simple TCP interface that Unity listens to and forwards result messages back to the MCP. The built‑in example includes tools like and a generic function that demonstrate how to expose Unity actions as MCP commands. Developers can extend this by creating new tools in either the Unity side (using IMGUI for legacy compatibility) or on the TypeScript side, keeping input schemas consistent. The result is a flexible API that can be consumed by any MCP‑compliant client, allowing AI assistants to spawn enemies, adjust physics parameters, or query scene data without manual scripting.
Key capabilities of the template include:
- Bidirectional communication: Unity can send results back to the MCP, enabling two‑way data flow.
- Modular tool architecture: Each tool is a self‑contained unit that can be added or removed without affecting the rest of the system.
- Legacy‑friendly build: By avoiding newer JSON packages and using IMGUI, the project remains compatible with older Unity releases.
- Developer‑friendly configuration: Adding the server to Claude Desktop is as simple as specifying a command line in the settings JSON.
Typical use cases span from automated QA testing—where an AI can trigger events and verify outcomes—to interactive storytelling, where a narrative engine drives Unity scenes based on conversational input. In educational settings, students can experiment with AI‑controlled simulations without writing boilerplate networking code.
What sets this template apart is its minimalism combined with extensibility. It offers a ready‑made, well‑documented starting point that reduces the friction of setting up an MCP server for Unity. Once the basic scaffolding is in place, developers can focus on crafting domain‑specific tools and prompts that unlock new creative possibilities for AI‑powered game development.
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