glade-tool/glade-mcp

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Connect Cursor, Claude Code, Windsurf, Claude Desktop, and other AI clients directly to your Unity or Godot editor.

Overview

Connect Cursor, Claude Code, Windsurf, Claude Desktop, and other AI clients directly to your Unity or Godot editor.

README

GladeKit MCP

Connect Cursor, Claude Code, Windsurf, Claude Desktop, and other AI clients directly to your Unity or Godot editor.

Unity: 260+ tools, full Unity-aware system prompt, GLADE.md project context, script semantic search, skill calibration, free CC0 asset pipeline, cloud intelligence layer with RAG and cross-session memory.

Godot (4.3+): 105 native tools across scene/node, scripts, resources, signals, physics, 2D (sprites, tilemaps, parallax), audio, particles, animation, camera, navigation, runtime (incl. structured runtime-event observation), project introspection, Control / Window UI, and lighting & WorldEnvironment.

The MCP server auto-detects which editor is running (Unity on :8765, Godot on :8766) and exposes the matching tool set.

Quick Start

1. Install the editor bridge

GladeKit MCP supports both Unity and Godot. Install the bridge for your engine by following the instructions below.

Engine auto-detection: the MCP server probes both ports on startup and exposes the matching tool set. Running both editors at once? Set GLADEKIT_MCP_FORCE_ENGINE=unity or =godot to pin a specific engine.

2. Connect your AI client

Install uv (one-time):

Mac/Linux: curl -LsSf https://astral.sh/uv/install.sh | sh
Windows: powershell -ExecutionPolicy ByPass -c "irm https://astral.sh/uv/install.ps1 | iex"

Then add the MCP config to your AI client. The client launches the MCP server automatically - no manual server step.

Why GladeKit Unity MCP?

Feature	GladeKit Unity MCP	unity-mcp (CoplayDev)
Tools	260+ granular tools across 16+ categories	~40 consolidated tools
System prompt	Full Unity intelligence - render pipeline detection, input system routing, tool discipline rules	None
Project context	GLADE.md - inject your game design doc into every request	None
Script search	Semantic search via OpenAI embeddings (bring your own key)	None
Skill calibration	Auto-detects beginner/expert, adapts response verbosity	None
In-session memory	`remember_for_session` - AI stores and recalls facts mid-conversation	None
Cloud intelligence	`GLADEKIT_API_KEY` - RAG knowledge base, cross-session memory, convention extraction	None
License	MIT	MIT

All core features are free and local. The cloud intelligence layer is optional and requires a GLADEKIT_API_KEY.

Features

License: MIT - see LICENSE.

The GladeKit desktop app is a separate commercial product that layers streaming, miss recovery, and a memory UI on top of this MCP server.

View this README on GitHub

Install

uvx gladekit-mcp

Configuration

{
  "mcpServers": {
    "gladekit-mcp": {
      "command": "uvx",
      "args": ["gladekit-mcp"]
    }
  }
}