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

A Model Context Protocol server that enables Claude to interact directly with Unity projects, providing tools for script creation, asset management, and project building.

Enables AI agents to control the Unity Editor through MCP, allowing scene building, runtime scripting, visual QA, and more.

Enables a local LLM to ask the user for guidance via a native desktop pop-up dialog, with configurable options and multiple-choice or free-text input.

This MCP server integrates AI assistants with Unity Editor, allowing them to create scenes, generate scripts, simulate input, and automate workflows using 91 built-in tools.

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.

The first Model Context Protocol server for Unity projects. It gives AI assistants real understanding of Unity scenes, prefabs, and C# scripts through a queryable knowledge graph.

Provides a local-first AI workspace for chatting, invoking skills, managing projects, and integrating MCP tools, with all data stored on the user's machine.

Enables AI assistants to control and automate the Unity Editor, allowing them to build games and scenes from natural language commands.

Enables AI assistants to operate directly inside a running Unity Editor project, using built-in tools for scene creation, script generation, play mode automation, input simulation, and performance analysis.

A Unity Editor plugin that exposes Unity Editor capabilities to external AI agents via the Model Context Protocol. It enables AI agents to interact with Unity through tools for debugging, scene inspection, project management, and build operations.

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

Enables ChatGPT to interact with the Unity Editor via MCP, using a PowerShell companion for persistent network connection and ngrok for public HTTPS endpoints.

Enables coding agents to run persistent, budgeted work sessions with dependency graphs, human decision queues, required validation, and clean handoffs for autonomous or human-in-the-loop execution.

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.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Scans a repository for maintenance toil (flaky tests, expiring certificates, TODO rot, dead flags, etc.) and returns a prioritized queue with a credit ledger to track who cleared what.

An MCP server that gives AI assistants tools to generate AccelByte AGS uGUI prefabs in Unity projects, look up AccelByte Unity SDK best practices, search Bytewars C# example components, and configure SDK credentials from a Claude Code or Cursor session.

MCP Unity Server to integrate Unity Editor game engine with different AI Model clients (e.g. Claude Desktop, Windsurf, Cursor)

Provides AI assistants with structured access to Unity project metadata, build settings, and agent documentation directly from the filesystem. It enables querying project details and scene configurations without requiring the Unity Editor to be running.

Provides AI assistants with comprehensive control over Unity Hub and Unity Editor through over 200 specialized tools for project management and scene manipulation. It enables users to perform complex tasks like script creation, asset management, and project builds using natural language commands.