"A server for finding information about Unity (game engine)" 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 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.

A Unity Editor MCP server that gives Claude Code full control over Unity projects through 268 tools, 7 resources, and specialized AI agents. It enables AI-assisted game development by allowing Claude to see, create, modify, and inspect everything in Unity including scenes, GameObjects, scripts, and builds.

Gives an agent eyes and hands to play a game running in a single window: it captures the client area as JPEG frames and sends validated keyboard, mouse, and wait actions, optionally in background mode so the game never takes focus. Actions are restricted to a whitelist with clamping and per-call limits, keeping the agent from reaching the rest of the OS.

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.

Enables AI agents to query and control the Unity Editor, supporting scene management, GameObject manipulation, asset browsing, play mode control, and real-time editor operations through 52+ tools.

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.

A bridge that enables controlling Unity Editor through natural language commands via AI assistants, allowing users to create materials, build projects, manage scenes, and configure settings without manual interaction.

Enables AI clients to interact with and control the Unity Editor through a Python MCP server bridge, allowing natural language-based Unity project manipulation.

Remote-control Unity Editor from any AI IDE via file-based IPC — 62 tools, zero dependencies

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.

Enables AI agents to search, read, organize, draft, send, and schedule email through a scoped token, with actions journaled and reversible. It also supports proposal queues, approval workflows, and undo operations for safe mailbox automation.

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.

Local MCP server for A-share stock trading via Tonghuashun, offering account/position queries, buy/sell/cancel orders with risk controls and forced user confirmation; currently simulated with a reserved interface for real broker channels.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Camunda Platform workflow engine. Provides 21 specialized tools for complete workflow automation and process management.

MCP server for governed AI content publishing to platforms like WeChat, Juejin, CSDN, and Zhihu, exposing tools for platform auth checks, content preflight, publish job lifecycle, verification, and liveness monitoring.

A deterministic MCP server that executes 10-step topology pipelines on Cloudflare Workers, providing structured progress snapshots and adaptive JSON templates for AI agents.

Provides AI assistants with a standardized interface to interact with the Todo for AI task management system. It enables users to retrieve project tasks, create new entries, and submit completion feedback through natural language.

Connects MCP-compatible AI assistants to Azgaar's Fantasy Map Generator so they can view, inspect, edit, and export fantasy maps in a live local browser, including borders, states, terrain, layers, and files. It runs locally and offline after installation, supports collaborative manual editing, undo, autosave, and text-only map output for models that cannot see images.