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U
Uefn MCP
by @CharonCodenix
GitHub Repo(1 stars)

A simple, practical MCP for UEFN.

Created 6/4/2026
Updated about 4 hours ago
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Repository documentation and setup instructions

UEFN MCP

Open source MCP server plus UEFN Python plugin bridge for AI-assisted Unreal Editor for Fortnite work.

This project is released for the community under the MIT license.

This is a very early version of the project. The goal is to keep scaling it alongside the UEFN ecosystem so it becomes increasingly useful for developers building on this platform.

Installation Options

You have two good ways to install it:

  1. Ask your preferred coding agent:
Install the public UEFN MCP from https://github.com/CharonCodenix/uefn-mcp into my UEFN project at C:\Path\To\Fortnite Projects\YourProject.

Replace C:\Path\To\Fortnite Projects\YourProject with your real UEFN project folder.

  1. Install it manually with the step-by-step guide below.

If Codex Desktop shows the MCP as enabled but the agent cannot see its tools, see CODEX_MCP_TROUBLESHOOTING.md. The usual fix is to fully restart Codex and confirm the MCP config points to the right local clone. Opening a new thread is usually not enough after changing MCP config.

What It Provides

  • A Node MCP server over stdio for Codex or another MCP client.
  • A reusable UEFN Python plugin installed into Content/Python/uefn_mcp_bridge.
  • A visible UEFN MCP launcher window with a Start Bridge button.
  • Direct Verse compilation through UEFN's local Verse Workflow Server at 127.0.0.1:1962.
  • Scene context, actor inspection, actor updates, diagnostics, and viewport screenshots.
  • UEFN Python execution with a required dry-run safety workflow.

Prerequisites

  • Windows machine with UEFN installed.
  • Node.js 20 or newer.
  • pnpm installed globally.
  • A local UEFN project folder.
  • Codex Desktop or another MCP-compatible client.

Install pnpm if you do not already have it:

npm install -g pnpm

Manual Installation

  1. Clone the repo, then enter the cloned folder:
git clone https://github.com/CharonCodenix/uefn-mcp.git
cd uefn-mcp

If you already cloned or downloaded the repo, open PowerShell inside that folder instead.

  1. Set your project path once. Keep this PowerShell window open and run the rest of the commands in the same window:
$ProjectPath = "C:\Path\To\Fortnite Projects\YourProject"
$RepoPath = (Get-Location).Path
  1. Install dependencies:
pnpm install
  1. Copy the example config and write your project paths into it:
Copy-Item .\uefn-mcp.config.example.json .\uefn-mcp.config.json
$Config = Get-Content .\uefn-mcp.config.json -Raw | ConvertFrom-Json
$Config.uefnProjectPath = $ProjectPath
$Config.contentPath = Join-Path $ProjectPath "Content"
$Config.uefnLogPath = Join-Path $env:LOCALAPPDATA "UnrealEditorFortnite\Saved\Logs\UnrealEditorFortnite.log"
$Config | ConvertTo-Json -Depth 10 | Set-Content .\uefn-mcp.config.json
  1. Install the UEFN Python plugin into your target project:
pnpm uefn:install -- --project "$ProjectPath"

What the installer does:

  • Copies uefn-plugin/Content/Python/uefn_mcp_bridge into the UEFN project's Content/Python.
  • Copies start_uefn_mcp_bridge.py into Content/Python.
  • Inserts a managed block into Content/Python/init_unreal.py.
  • Enables pythonExperimental.bEnablePythonForProject in the .uefnproject.
  • Adds a native fallback recent script entry when UEFN preserves local recent scripts.
  1. Add the MCP server to your Codex config.

On Windows, Codex config is usually here:

%USERPROFILE%\.codex\config.toml

Build the block for your local clone:

$ServerPath = Join-Path $RepoPath "src\server.mjs"
$CodexBlock = @"
[mcp_servers."uefn-mcp"]
command = "node"
args = ["$($ServerPath.Replace('\', '\\'))"]
cwd = "$($RepoPath.Replace('\', '\\'))"
startup_timeout_sec = 20
tool_timeout_sec = 120
enabled = true
"@
$CodexBlock

Open your Codex config and paste the printed block:

notepad "$env:USERPROFILE\.codex\config.toml"

The final block should look like this:

[mcp_servers."uefn-mcp"]
command = "node"
args = ["C:\\Path\\To\\uefn-mcp\\src\\server.mjs"]
cwd = "C:\\Path\\To\\uefn-mcp"
startup_timeout_sec = 20
tool_timeout_sec = 120
enabled = true

  1. Restart Codex. Opening a new thread is usually not enough after changing MCP config.

  2. Open or restart UEFN and open your project.

  3. In UEFN, click:

UEFN MCP Bridge > Start Bridge

The launcher opens automatically from Content/Python/init_unreal.py when the project loads.

If the launcher is hidden, run this in UEFN's Python command line:

import uefn_mcp_bridge; uefn_mcp_bridge.show_launcher_window()

If you need to start the bridge directly:

import uefn_mcp_bridge; uefn_mcp_bridge.start_bridge_from_menu()
  1. In your MCP client, ask for uefn_status. A healthy setup should show:
  • Project detected.
  • Python bridge reachable at 127.0.0.1:8765.
  • Verse Workflow Server reachable at 127.0.0.1:1962 when UEFN exposes it.

Agent Installation Guide

If a user asks an agent to install this MCP, the agent should:

  1. Clone the repository into a stable local folder.
  2. Set ProjectPath to the exact UEFN project folder supplied by the user.
  3. Run pnpm install.
  4. Validate the user-supplied UEFN project folder has exactly one .uefnproject, a root .uplugin, and a Content directory.
  5. Create uefn-mcp.config.json from the example using the user's project path.
  6. Run:
pnpm uefn:install -- --project "$ProjectPath"
  1. Add the MCP block to the user's MCP client config with command = "node", args pointing to src/server.mjs, and cwd pointing to the clone.
  2. Ask the user to restart Codex/the MCP client and UEFN. For Codex, opening a new thread is usually not enough after changing MCP config.
  3. Ask the user to click UEFN MCP Bridge > Start Bridge.
  4. Verify with uefn_status.

Agents should not hardcode another user's project path, username, or machine-specific folder. Use the path supplied by the user.

Uninstall

pnpm uefn:uninstall -- --project "$ProjectPath"

This removes the managed Python package, launcher script, managed init_unreal.py block, and recent-script entry when present. It does not delete your UEFN project content.

Security Notes

  • The UEFN bridge listens on 127.0.0.1 only. It is intended for local editor automation, not public network access.
  • The installer modifies only the target UEFN project you pass with --project: it copies the Python plugin, adds a managed init_unreal.py block, enables UEFN Python for the project, and may add a recent Python script entry.
  • The uninstall command removes the managed plugin files and managed init_unreal.py block. It does not delete your island content.
  • uefn_run_python uses a dry-run workflow. Scripts with warnings require an explicit dryRunId before execution, and execution requires the exact same script hash.
  • Actor updates default to dry-run behavior unless the caller explicitly asks to apply changes.
  • The MCP does not require API keys, tokens, cloud credentials, or external accounts.

Main Tools

  • uefn_status: project, bridge, and Verse workflow health.
  • uefn_project_summary: compact project and Verse file summary.
  • uefn_search: search Verse files or scene actors.
  • uefn_read_resource: read a returned uefn://... resource URI.
  • uefn_scene_context: compact scene snapshot via UEFN Python.
  • uefn_get_actor_details: inspect an actor's transform, components, and editable fields.
  • uefn_update_actor: dry-run or apply actor edits.
  • uefn_visual_context: capture viewport or camera screenshot context.
  • uefn_compile_verse: compile Verse via UEFN's Verse Workflow Server and parse logs.
  • uefn_diagnostics: compact Verse diagnostics or log tail.
  • uefn_run_python: dry-run first; clean dry-runs auto-execute.

Useful Commands

Run validation:

pnpm check

Run the MCP server manually:

pnpm start

Dry-run plugin installation:

pnpm uefn:install -- --project "$ProjectPath" --dry-run

Python Safety Workflow

Python execution always starts with a dry-run. If the dry-run has no errors or warnings, the MCP executes the exact script automatically:

{
  "mode": "dry_run",
  "script": "print('hello from UEFN')"
}

If the dry-run reports warnings, it does not execute. Review the warnings, then execute only the exact same script with the returned dryRunId.

Configuration

The MCP reads local config from uefn-mcp.config.json. That file is intentionally ignored by Git because it contains machine-specific paths.

You can also use environment variables:

  • UEFN_PROJECT_PATH
  • UEFN_CONTENT_PATH
  • UEFN_BRIDGE_URL
  • UEFN_VERSE_WORKFLOW_HOST
  • UEFN_VERSE_WORKFLOW_PORT
  • UEFN_LOG_PATH
  • UEFN_MCP_RESOURCE_CACHE_DIR
  • UEFN_MCP_ALLOW_PROJECT_PATH_OVERRIDE
  • UEFN_MCP_ALLOW_EXTERNAL_LOG_PATH

By default, ad hoc projectPath overrides are rejected. Validate a candidate folder first with uefn_project_summary and validateOnly=true, then explicitly enable overrides only if you need them.

Resources

Large data is intentionally kept out of tool responses and exposed through resource URIs:

  • uefn://project/summary
  • uefn://verse/file/{encodedRelativePath}
  • uefn://scene/snapshot/{id}
  • uefn://scene/actor-details/{id}
  • uefn://scene/actor-updates/{id}
  • uefn://visual/{id}.png
  • uefn://logs/verse/{id}
  • uefn://python/dry-run/{id}

Recommended pattern:

search -> inspect compact result -> read only the needed resource

License

MIT. Use it, fork it, improve it, and share it.

Quick Setup
Installation guide for this server

Install Package (if required)

npx @modelcontextprotocol/server-uefn-mcp

Cursor configuration (mcp.json)

{ "mcpServers": { "charoncodenix-uefn-mcp": { "command": "npx", "args": [ "charoncodenix-uefn-mcp" ] } } }