"Resources or Information for Becoming or Hiring a Unity Developer" matching MCP servers:

Enables AI agents to query OpenRouter model information including prices, ELO rankings, context, and perform comparisons.

A simple MCP server implementation in TypeScript that communicates over stdio, allowing users to ask questions that end with 'yes or no' to trigger the MCP tool in Cursor.

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

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

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.

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.

MCP server that demonstrates the Resources feature by exposing static and dynamic resources, including contact data and personalized greetings, through MCP.

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.

LLM routing proxy that cuts API costs 60-90% by auto-selecting the cheapest capable model across OpenAI, Anthropic, and Google. Provides stats, config, and model comparison tools via MCP.

Provides access to developer roadmap content from roadmap.sh, allowing users to list available roadmaps and fetch detailed Markdown content for specific career paths.

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.

MCP-ORTools integrates Google's OR-Tools constraint programming solver with Large Language Models through the MCP, enabling AI models to: Submit and validate constraint models Set model parameters Solve constraint satisfaction and optimization problems Retrieve and analyze solution

A powerful context management system that maintains persistent context across coding sessions, helping development teams track project structure, dependencies, and progress.

Integrates AI assistants with the Unity Editor for scene manipulation, asset management, and testing, plus Unity documentation search via RAG.

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.

Indexes Unity projects into a SQLite database and exposes 23 MCP tools for Claude to explore scenes, prefabs, scripts, and assets via structured queries.

Launches Unity's official MCP relay on Windows so MCP clients can connect directly to Unity projects with minimal overhead.

Exposes Unity Editor project context and manipulation tools to AI coding agents, enabling automated scene hierarchy analysis, script inspection, and asset management. It supports both read and write operations including GameObject editing, component configuration, and animation authoring within the Unity environment.

A bridge enabling seamless communication between Unity and Large Language Models via the Model Context Protocol, allowing developers to automate workflows, manipulate assets, and control the Unity Editor programmatically.