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Basic Information

UnrealMCP is a repository that provides an MCP (message/control/management protocol) intended to allow AI agents to control Unreal Engine environments. The project name and short description indicate its main purpose is to bridge autonomous agents and the Unreal runtime so agents can issue actions and receive environment state. The repository currently has a minimal visible README and a reference to main/README.md that cannot be resolved, so implementation details and usage instructions are not present in the provided content. The observable intent is to offer a protocol or integration layer for agent-driven control of Unreal projects.

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App Details

Features
Based on the repository name and description, key features are focused on integration and control rather than a specific runtime. It is designed to expose a control interface for AI agents to interact with Unreal Engine. The project scope implies support for programmatic command delivery, state or telemetry exchange, and coordination for multiple agents. The repository structure references a main README but that file is inaccessible in the provided snapshot, so concrete artifacts such as APIs, message formats, transport mechanisms, or example agents are not documented in the visible material.
Use Cases
UnrealMCP aims to help developers, researchers, and hobbyists who want to connect AI agents to Unreal Engine for testing, simulation, automation, or research. By providing a dedicated control protocol or integration layer, it can reduce the engineering effort needed to make agents drive in-game actors, receive observations, and orchestrate multi-agent scenarios. Even though the current README content is minimal, the project concept signals value for prototyping agent workflows in Unreal, enabling experiments in reinforcement learning, behavior testing, or automated gameplay control once implementation details are available.

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