"How to create a game using Unity" matching MCP servers:

An MCP server connecting Claude AI with game engine runtimes (Unity & Godot) for automated testing, log filtering, and scene hierarchy inspection.

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.

MCP server for running deterministic Godot game scenarios, listing available scenarios, running single or soak tests, and reading test reports.

MCP-first A/B testing server that enables agents to manage experiments (create, update traffic splits, read results, apply winning variants) from tools like Claude Code, with self-hosted Cloudflare backend.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

Enables AI assistants to control the Unity Editor via MCP, allowing scene manipulation, asset management, compilation, and testing through natural language.

Provides MCP tools to manage and interact with Unity debug sessions in VS Code, including breakpoints, snapshots, evaluation, and stepping, via a named pipe to the Unity Debugger Pure extension.

MCP server for debugging Unity Editor managed code, supporting attach, breakpoints, stepping, call stack inspection, and read-only evaluation.

An MCP server that connects AI assistants to Unity Editor. It enables executing menu items, manipulating GameObjects, managing scenes, creating materials, running tests, and controlling play mode, all through natural language.

Enables AI agents to create, run, and debug 2D games in a sandboxed engine, providing tools for simulation, state inspection, and quality validation.

Bridges AI assistants to running game instances for testing, debugging, and verification. Works with any game engine via a simple TCP protocol.

Unity Editor adapter for the DCC MCP ecosystem, providing tools to inspect and modify Unity projects, scenes, builds, and diagnostics through a WebSocket bridge.

Enables AI clients to validate game level progression data, audit localization packs for missing translations and dynamic-token mismatches, and run deterministic evaluations of generated puzzle or notification content.

Unity MCP Server enables LLM-based clients to automate the Unity Editor, including scene manipulation, UI testing, input simulation, and code editing.

A Unity Editor command bridge that uses JSON files under .codex/unity-commands for request/response, enabling tools to check Unity status, execute editor commands, parse test results, and capture screenshots.

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.

An MCP server for Unity that provides 300 typed tools for editor automation, asset analysis, validation, and diagnostics, supporting live Editor, headless batch, and offline modes.

Enables agents to inspect web pages for Cloudflare Turnstile challenges without an API key, and clear Turnstile or WAF challenges using a SolveGate API key.

Provides an in-memory notebook interface with tools to create, retrieve, list, update, and delete notes, designed to test agent behavior through realistic MCP tool interactions.

Screen-reader navigation cost analyzer. Measures how hard it is for assistive-technology users to discover, reach, and operate interactive targets on the web.