A
licenseB
qualityC
maintenanceAn MCP server that gives AI agents broad control over Unreal Engine 5.7, enabling actor/asset/level management, Blueprint and material creation, screenshots, automation, and arbitrary editor Python execution.
35
MIT
UE Agent Harness
by MDX-0003
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
UE Agent Harness
UE5.8 编辑器的 AI Agent 中间层。Harness 作为 MCP Server 面向 LLM（Claude/GPT），作为 MCP Client 面向 UE MCP Server，提供上下文组装、状态缓存、视觉验证闭环、长任务记忆压缩、安全护栏。
快速开始
# 0. 安装（需要 Python 3.12+ 和 uv）
uv sync
# 1. 在 UE 编辑器中启用 MCP Server
# Editor Preference → General → Model Context Protocol → Auto Start Server
# 2. 启动 Harness
uv run harness start --ue-port 8000 --listen-port 9000
# 3. 在 Claude Code 或其他 MCP 客户端中连接到 localhost:9000Related MCP server: Unreal-MCP-Ghost
文档
项目结构
ue-agent-harness/
├── harness/ # Python 包
│ ├── cli.py # CLI 入口
│ ├── server.py # MCP Server（面向 LLM）
│ ├── client.py # MCP Client（面向 UE）
│ ├── config.py # 配置管理
│ ├── context/ # 上下文组装
│ ├── verification/ # 视觉验证
│ ├── state/ # Write-Through State Cache
│ ├── memory/ # 任务记忆压缩
│ ├── recovery/ # 错误恢复
│ ├── safety/ # 安全护栏
│ └── observability/ # 日志与回放
├── branch_mark/ # 离线评分工具（独立于 Harness）
├── skills/ # Harness Skill 示例
├── tests/ # 测试
├── docs/ # 文档
│ ├── architecture.md
│ ├── CONTEXT.md
│ ├── adr/ # 架构决策记录
│ └── issues/ # 开发 Issue
└── pyproject.tomlThis server cannot be deployed
Maintenance
ActivityInactive
ResponsivenessNo issues
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