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UnrealMCPHub

БесплатноНе проверен

Central management platform for Unreal Engine MCP instances that bridges AI agents with Unreal Engine, handling plugin installation, project compilation, editor

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Описание

Central management platform for Unreal Engine MCP instances that bridges AI agents with Unreal Engine, handling plugin installation, project compilation, editor launch, crash recovery, and transparent proxy of tool calls.

README

Central management platform for Unreal Engine MCP instances — bridge between AI agents and UE across the full development lifecycle.

Works with RemoteMCP (UE Editor plugin that exposes engine capabilities via MCP protocol). The Hub manages everything around it: install the plugin, compile, launch the editor, detect crashes, and transparently proxy all tool calls — so the AI agent only needs one MCP endpoint.

AI Agent ──► UnrealMCPHub ──► UE Editor + RemoteMCP plugin
              (this repo)       (blackplume233/UnrealRemoteMCP)

RemoteMCP runs inside UE Editor and provides 17+ tools across 6 domains (level, blueprint, umg, edgraph, behaviortree, slate). UnrealMCPHub runs outside UE Editor and can compile, launch, monitor, and proxy — even when UE is not running.

Features

  • Project setup — Configure .uproject once; engine auto-detected from registry
  • Build & launch — Compile via UBT, launch editor, wait for MCP readiness
  • Plugin install — One-click RemoteMCP installation (local copy or GitHub download)
  • Instance discovery — Scan ports to find running UE editors
  • UE tool proxyue_run_python, ue_call, ue_list_tools and domain dispatch
  • Crash resilience — Crash detection, report retrieval, restart flow
  • Multi-instance — Switch between multiple UE editors via use_editor
  • Session notes — Persist context for crash recovery
  • One-click overviewhub_status shows project, plugin, instances, and watcher state

Quick Install

Option A: One-line install from PyPI (recommended)

# uv (recommended)
uv tool install unrealhub

# or pip
pip install unrealhub

Then add to .cursor/mcp.json:

{
  "mcpServers": {
    "unrealhub": {
      "command": "unrealhub",
      "args": ["serve"]
    }
  }
}

Option B: Zero-install (auto-fetch on first launch)

No download, no clone, no install. Paste this single block into .cursor/mcp.json and restart Cursor:

{
  "mcpServers": {
    "unrealhub": {
      "command": "uvx",
      "args": ["unrealhub", "serve"]
    }
  }
}

Requires uv (pip install uv or winget install astral-sh.uv). Cursor will auto-fetch the Hub on first launch.

Option C: Standalone executable (no Python needed)

Download the latest executable for your platform from GitHub Releases, then:

{
  "mcpServers": {
    "unrealhub": {
      "command": "/path/to/unrealhub",
      "args": ["serve"]
    }
  }
}
Platform File
Windows x64 unrealhub-windows-amd64.exe
macOS ARM unrealhub-macos-arm64
Linux x64 unrealhub-linux-amd64

Option D: Clone for development

git clone https://github.com/blackplume233/UnrealMCPHub.git
cd UnrealMCPHub
uv sync          # or: pip install -e .
{
  "mcpServers": {
    "unrealhub": {
      "command": "uv",
      "args": ["--directory", "/path/to/UnrealMCPHub", "run", "unrealhub", "serve"]
    }
  }
}

Quick Start

For AI Agents (Cursor / Claude / etc.)

This is the primary use case. Add UnrealMCPHub as an MCP server in your AI tool, then the agent handles everything through natural language.

Step 1: Install & Configure MCP (see Quick Install above)

HTTP mode (for shared / remote / multi-client use):

unrealhub serve --http --port 9422
{
  "mcpServers": {
    "unrealhub": {
      "url": "http://127.0.0.1:9422/mcp"
    }
  }
}

Step 2: Talk to the agent

Once configured, the AI agent has full access to all Hub tools. Example conversations:

You: "帮我编译并启动 UE 项目 D:/Projects/MyGame/MyGame.uproject"
Agent: [calls setup_project, compile_project, launch_editor automatically]

You: "在 UE 里创建一个蓝图 Actor"
Agent: [calls ue_get_dispatch to find blueprint tools, then ue_call_dispatch]

You: "UE 崩溃了怎么办"
Agent: [calls get_crash_report, shows crash info, offers restart_editor]

Step 3: What happens behind the scenes

Agent → Hub (setup_project)     # One-time project config, persisted
Agent → Hub (compile_project)   # Compiles via UBT, even without UE running
Agent → Hub (launch_editor)     # Starts UE, waits for MCP readiness
Agent → Hub (ue_run_python)     # Hub forwards to UE's RemoteMCP
                ↓
        UE Editor (port 8422)   # Executes Python, returns result

The agent only needs to know about the Hub — it never talks to UE directly.

AI Agent Decision Flow

Is project configured?
├── No  → Ask user for .uproject path → setup_project()
└── Yes → Is UE Editor online?
          ├── No  → Need plugin? → install_plugin() → compile_project() → launch_editor()
          └── Yes → Use ue_* tools directly
                    └── Crashed? → get_crash_report() → restart_editor()

For Humans (CLI)

unrealhub setup /path/to/MyProject.uproject   # Configure project
unrealhub serve                                # Start MCP server (stdio)
unrealhub serve --http --port 9422             # Start MCP server (HTTP)
unrealhub status                               # Show instance status
unrealhub discover                             # Discover running UE instances
unrealhub compile                              # Build active project
unrealhub launch                               # Launch editor

Tool Reference

Hub Management (always available, even without UE)

Tool Description
setup_project Configure project path (once, persisted to ~/.unrealhub)
get_project_config View current project configuration
hub_status One-stop overview of everything
compile_project Compile project via UBT
launch_editor Start UE Editor, wait for MCP readiness
restart_editor Restart a crashed editor
install_plugin Install RemoteMCP plugin
set_plugin_source Configure plugin download URL or local path
discover_instances Scan ports for running UE instances
use_editor Switch active UE instance (multi-instance)
get_crash_report Get crash details
add_note / get_notes Session notes for crash recovery context

UE Proxy Tools (forwarded to active UE instance)

Tool Description
ue_run_python Execute Python script in UE
ue_call Call any UE MCP tool by name
ue_list_tools List all tools from UE instance
ue_get_dispatch List domain tools (level, blueprint, umg, etc.)
ue_call_dispatch Call a domain-specific tool
ue_test_state Test connection to UE
ue_status Get active instance status

Architecture

┌─────────────────┐     stdio/HTTP      ┌──────────────────┐
│  Cursor / Agent │ ◄─────────────────► │  UnrealMCPHub    │
└─────────────────┘                     │  (FastMCP Server) │
                                        └────────┬─────────┘
                                                 │
                 ┌───────────────────────────────┼───────────────────────────────┐
                 │                               │                               │
                 ▼                               ▼                               ▼
         ┌───────────────┐              ┌───────────────┐              ┌───────────────┐
         │ Project Mgmt  │              │ Lifecycle     │              │ UE Proxy      │
         │ setup_project │              │ compile       │              │ ue_run_python  │
         │ install_plugin│              │ launch/restart│              │ ue_call        │
         │ hub_status    │              │ discover      │              │ ue_list_tools  │
         └───────────────┘              └───────┬───────┘              └───────┬───────┘
                 │                              │                              │
                 ▼                              │  Streamable HTTP             │
         ┌───────────────┐              ┌──────▼──────────────────────────────▼────────┐
         │ ~/.unrealhub  │              │  UE Editor + RemoteMCP (port 8422)            │
         │ config.json   │              │  17+ tools: run_python, get_dispatch, etc.    │
         │ state.json    │              │  6 domains: level, blueprint, umg, edgraph,   │
         └───────────────┘              │             behaviortree, slate               │
                                        └──────────────────────────────────────────────┘

Development

git clone https://github.com/blackplume233/UnrealMCPHub.git
cd UnrealMCPHub
uv sync --extra dev      # Install with dev dependencies
uv run pytest tests/ -v  # Run tests (129 tests)

Requirements

  • Python >= 3.11
  • Unreal Engine 5.x
  • RemoteMCP — UE Editor plugin (Hub can auto-install it via install_plugin)

License

MIT

from github.com/blackplume233/UnrealMCPHub

Установка UnrealMCPHub

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

▸ github.com/blackplume233/UnrealMCPHub

FAQ

UnrealMCPHub MCP бесплатный?

Да, UnrealMCPHub MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для UnrealMCPHub?

Нет, UnrealMCPHub работает без API-ключей и переменных окружения.

UnrealMCPHub — hosted или self-hosted?

Self-hosted: сервер запускается локально на твоей машине командой из раздела установки.

Как установить UnrealMCPHub в Claude Desktop, Claude Code или Cursor?

Открой UnrealMCPHub на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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