Unreal Mcp logo

Unreal Mcp

Organization
EpicGames
unreal-mcp

Use this skill to perform actions inside an Unreal Engine project via a live-editor MCP connection. Trigger when the user wants to change, query, or run something in their Unreal Engine project, not for conceptual or docs questions. Concrete triggers: spawn/move/duplicate/transform actors in a level, open a `.uproject`, add things around a PlayerStart, create or edit a Blueprint/Widget/Material/Niagara/Control Rig/Sequencer/Behavior Tree/GAS ability, read or write properties on actors (e.g. `bIsLocked` on `BP_DoorActor`), Live Coding recompile after editing C++ (`AActor`, `UMyComponent::Method`, `UPROPERTY`), or modify Static/Skeletal Mesh assets. Treat as Unreal context even without the word "Unreal": asset prefixes `BP_`, `WBP_`, `M_`, `MI_`, `NS_`, `CR_`, `SK_`, `SM_`, `ABP_`; UE C++ types/macros; `.uproject`; Content Browser; Outliner; PlayerStart; "in my game" plus UE signals. Skip for: pure conceptual/docs questions, Unity, Godot, or unrelated uses of "blueprint"/"sequencer"/"widget".

Overview

PublisherEpicGames
Repositoryunreal-engine-skills-for-claude-code-plugin
Skill nameunreal-mcp
Stars
510
Forks
65
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by EpicGames on GitHub. Read the source before you install it.

Installation

Install the Unreal Mcp AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/EpicGames/unreal-engine-skills-for-claude-code-plugin/tree/main/skills/unreal-mcp
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/EpicGames/unreal-engine-skills-for-claude-code-plugin.git /tmp/unreal-engine-skills-for-claude-code-plugin
mkdir -p .claude/skills
cp -r /tmp/unreal-engine-skills-for-claude-code-plugin/skills/unreal-mcp .claude/skills/unreal-mcp
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Unreal Mcp in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Unreal Mcp on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Unreal Mcp is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Unreal MCP

You are wired into a live Unreal Editor through the unreal-mcp MCP server. The server exposes hundreds of tools across 30+ toolsets (actors, blueprints, materials, Niagara, Sequencer, Control Rigs, GAS, automation tests, Live Coding, and more) registered through Unreal's ToolsetRegistry. Use it to inspect and mutate live editor state instead of telling the user to do it manually.

You don't need to memorize tool names. The flow below has you discover them on demand.

The connection can appear as unreal-mcp-proxy when the engine's optional proxy is installed. Use that connection for Unreal tools. The proxy keeps Unreal's native tool definitions; it does not introduce replacement discovery or dispatch tools. See references/setup.md for installation.

First step every time: discover the tool you need, then dispatch it via call_tool

Tool search is on by default, so the MCP server advertises only three meta-tools for the whole session: list_toolsets, describe_toolset, and call_tool. Tool names like BlueprintTools.create or SequencerTools.create_level_sequence are not in tools/list. They are dispatched server-side through call_tool and never registered as native MCP tools. This is deliberate. It keeps your context window small and the prompt cache warm.

When you start work:

  1. Call list_toolsets to see what's registered, then describe_toolset on the candidate(s) to read their tool schemas. If you already know which toolset you need (the user said "make a Blueprint" → the Blueprint toolset), skip the listing and go straight to describe_toolset to confirm the available tools and their signatures.
  2. Invoke the tool with call_tool: pass toolset_name, tool_name, and an arguments object matching the schema you just read. The result comes back on the same turn. No extra round-trip needed.
  3. Top-level dispatch (omitting toolset_name) is reserved for tools registered directly on the MCP server and is rejected for call_tool itself.

Missing tools do not prove that the editor is stopped. Check the configured unreal-mcp or unreal-mcp-proxy connection and follow references/operations.md. A proxy can stay connected while Unreal is unavailable, and a client can keep a stale catalog after recovery. unreal_mcp_status reports the proxy's session state, not current reachability. Verify recovery with a read-only Unreal tool call. For first-time configuration, follow references/setup.md.

Safety rules

Follow these rules to protect live editor state.

  • Save first, then save again. Tell the user to save the project (or call AssetTools save APIs) before any bulk change, and again after. MCP edits are not always undoable, especially across compilation boundaries. Treat anything that touches multiple assets as a destructive operation that needs a recovery point.
  • Wait for compilation. If C++ or shader compilation is in flight, your tool calls will hang or fail in confusing ways. To rebuild C++ from the running editor, drive LiveCodingToolset.CompileLiveCoding and wait on its result instead of asking the user to switch to the IDE. That tool blocks until the compile actually finishes and surfaces MSVC diagnostics.
  • Control concurrent calls. MCP accepts concurrent requests and handles dispatch synchronization. Asynchronous tools can overlap, and request order does not guarantee execution or completion order. Serialize dependent calls and mutations that can affect the same asset or editor state. Use parallel calls only for independent work when the tools support safe overlap. Multiple agents can use one editor, but their conflicting changes can cause adverse effects.
  • Always check the result. Blueprint compilation, widget creation, material edits: many tools return a status that flips between success and failure with no exception thrown on the wire. Read the response before moving on. Treat anything that isn't an explicit success as a stop.
  • Mind PIE. Editor-only tools (asset creation in particular) behave differently while Play-in-Editor is active. If a result looks wrong, check whether PIE is running and stop it if so.

Project skills

A project or plugin can register Agent Skills: named bundles of instructions that capture workflow knowledge the agent wouldn't otherwise have (a project's naming conventions, folder layout, required setup steps, or the canonical sequence for a multi-step task). These are separate from the toolsets themselves and are reached through the agent skill toolset (AgentSkillToolset), not through list_toolsets.

Check for them the same way you discover tools, and do it whenever you start unfamiliar work in a project rather than just once:

  1. Call AgentSkillToolset.ListSkills (through call_tool) to see what skills the project registers. Each entry carries a short description of what it covers and when it applies.
  2. If a skill's description looks relevant to what the user asked, call AgentSkillToolset.GetSkills on it to load the full instructions, then follow them.
  3. If nothing matches, fall back to the tool-discovery flow above.

A relevant project skill's instructions take precedence over your generic defaults: it exists precisely because the project's way of doing something differs from the obvious one. (Authoring or editing these skills is a separate task covered by the unreal-skill companion skill below.)

Reference files

  • references/setup.md: first-time MCP server setup, client configuration, and optional proxy installation.
  • references/operations.md: console commands, settings, proxy recovery, and troubleshooting for missing tools or failed calls.

Companion skills

  • create-toolset: use when authoring a new toolset or adding tools to an existing one. Covers design principles, C++ and Python conventions, registration, error handling, and testing.
  • unreal-skill: use when creating, updating, or reviewing an Agent Skill. Covers what makes a good skill and how to structure one.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Unreal Mcp AI skill do?

Use this skill to perform actions inside an Unreal Engine project via a live-editor MCP connection. Trigger when the user wants to change, query, or run something in their Unreal Engine project, not for conceptual or docs questions. Concrete triggers: spawn/move/duplicate/transform actors in a level, open a `.uproject`, add things around a PlayerStart, create or edit a Blueprint/Widget/Material/Niagara/Control Rig/Sequencer/Behavior Tree/GAS ability, read or write properties on actors (e.g. `bIsLocked` on `BP_DoorActor`), Live Coding recompile after editing C++ (`AActor`, `UMyComponent::Met...

Why use Unreal Mcp on TypingMind?

Because you install it once and use it with any model. Unreal Mcp is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Unreal Mcp in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/EpicGames/unreal-engine-skills-for-claude-code-plugin/tree/main/skills/unreal-mcp. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Unreal Mcp?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Unreal Mcp?

As many as you like. As long as a model supports skills, you can use Unreal Mcp with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Unreal Mcp AI skill free?

Yes. It is published on GitHub by EpicGames under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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