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ChadAragorn

Defold MCP Server

MCP Server

Automate Defold projects with AI-powered tools and real‑time debugging

Stale(50)
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Updated 12 days ago

About

The Defold MCP Server exposes a rich set of Model Context Protocol tools that let developers launch, debug, build, and manage Defold projects programmatically. It supports Lua script generation, asset creation, hot‑reloading, and integration with AI tools like Cursor.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Overview

The Defold MCP server bridges the Defold game engine with modern AI‑assisted development workflows. By exposing a rich set of MCP tools, it lets language models and other AI assistants programmatically control nearly every aspect of a Defold project—from launching the editor to generating complex asset hierarchies. This capability transforms routine game‑development tasks into first‑class API calls that can be invoked from chat, scripting, or automated pipelines.

Defold is a lightweight, cross‑platform engine that relies heavily on Lua scripting and a visual editor. Developers often juggle file creation, project configuration, and debugging across multiple tools. Defold MCP consolidates these operations into a single, network‑exposed interface. When an AI assistant calls the or tool, the server performs the underlying file manipulations and editor commands, returning structured results that can be fed back into the conversation. This eliminates manual copy‑paste and reduces context switching, enabling a smoother creative loop.

Key capabilities include:

  • Project lifecycle management – Create, list, and configure projects via , , and project‑settings tools.
  • Asset automation – Generate Lua scripts, modules, collections, sprites, tilemaps, particle effects, and more with dedicated tools such as or .
  • Editor integration – Launch the Defold editor () and run projects in debug mode, capturing console output through .
  • Hot‑reload support – Enable real‑time updates to assets and scripts, allowing instant visual feedback.
  • Analytics and monitoring – Retrieve project modification analytics () to track changes over time.

These features empower developers to embed game‑development logic into AI workflows. For example, a conversational assistant can prompt the user for “Add a sprite with texture to collection ,” translate that into a series of MCP calls, and instantly see the updated project in the editor. In continuous‑integration pipelines, the server can automatically build and package the game for target platforms, or run unit tests against generated scripts.

Defold MCP’s design prioritizes extensibility and platform friendliness. It supports Apple Silicon out of the box, reads environment variables from files for flexible configuration, and exposes a straightforward JSON‑over‑HTTP interface that any MCP client can consume. By integrating seamlessly with tools like Cursor or Windsurf, developers can let the AI manage the server lifecycle without manual intervention. Overall, Defold MCP transforms a traditionally visual and manual workflow into an API‑driven, AI‑ready pipeline that accelerates iteration, reduces errors, and opens new possibilities for automated game content creation.