aseprite-mcp

aseprite-mcp

MCP server for programmatically creating and editing Aseprite sprites, enabling AI agents to draw, manage layers and frames, and iterate until the desired result is achieved.

Category
Visit Server

README

aseprite-mcp

An MCP (Model Context Protocol) server that gives AI agents the ability to create and edit Aseprite sprites programmatically.

An AI can use this server to draw pixels, lines, shapes, manage layers and frames, read back pixel data, inspect the full sprite state, and self-iterate until the result matches the request — all without leaving the chat.

How it works

The server exposes Aseprite's sprite manipulation capabilities as MCP tools that an AI assistant can call. Under the hood it generates Lua scripts that Aseprite executes in batch mode.

Tools

Tool What it does
create_sprite Create a new .aseprite file
draw_pixels, draw_line, draw_rectangle, draw_circle Drawing operations
flood_fill Flood fill an area
add_layer, remove_layer Layer management
add_frame, set_frame_duration Frame/animation control
set_palette_color, resize_canvas Palette and canvas
export_png, export_gif Export to image formats
get_sprite_info, inspect_sprite Read sprite metadata
get_pixel_color, get_palette Read back pixel data

The AI can read back what it drew, inspect the full sprite state, and self-iterate until it's happy with the result.

Usage

npm run build
npm start        # stdio transport (default)
npm start -- --port 3100   # HTTP server on port 3100

The server runs in stdio mode by default (standard MCP protocol). Pass --port to start an HTTP server instead, allowing remote MCP clients to connect via http://localhost:<port>/mcp.

On startup the server prints its PID, transport mode, and Aseprite binary path to stderr. Use the PID to manage the server process (e.g. kill <pid> to stop).

Requirements

The server auto-detects Aseprite from common install paths. If it's not found, set the ASEPRITE_PATH environment variable to point to the executable:

Platform Steam itch.io / Humble / Gumroad
macOS ~/Library/Application Support/Steam/steamapps/common/Aseprite/Aseprite.app/Contents/MacOS/aseprite /Applications/Aseprite.app/Contents/MacOS/aseprite
Windows C:\Program Files (x86)\Steam\steamapps\common\Aseprite\Aseprite.exe C:\Program Files\Aseprite\Aseprite.exe
Linux ~/.steam/steam/steamapps/common/Aseprite/aseprite /usr/bin/aseprite
export ASEPRITE_PATH="/path/to/aseprite"   # macOS / Linux
set ASEPRITE_PATH="C:\path\to\aseprite.exe"  # Windows

Connecting other agents

This is a standard MCP server — any MCP-compatible client can connect to it. The server runs on stdio transport:

node /path/to/aseprite-mcp/dist/index.js

opencode

Already configured in opencode.json:

{
  "mcp": {
    "aseprite-mcp": {
      "type": "local",
      "command": ["node", "dist/index.js"],
      "enabled": true
    }
  }
}

Claude Code

Add to ~/.claude/config.json or project CLAUDE.md:

{
  "mcpServers": {
    "aseprite-mcp": {
      "command": "node",
      "args": ["path/to/aseprite-mcp/dist/index.js"],
      "env": {
        "ASEPRITE_PATH": "/path/to/aseprite"
      }
    }
  }
}

Cursor

Create .cursor/mcp.json in the project root:

{
  "mcpServers": {
    "aseprite-mcp": {
      "command": "node",
      "args": ["path/to/aseprite-mcp/dist/index.js"],
      "env": {
        "ASEPRITE_PATH": "/path/to/aseprite"
      }
    }
  }
}

VS Code (GitHub Copilot)

Add to .vscode/settings.json:

{
  "github.copilot.chat.agent.mcpServers": {
    "aseprite-mcp": {
      "command": "node",
      "args": ["path/to/aseprite-mcp/dist/index.js"],
      "env": {
        "ASEPRITE_PATH": "/path/to/aseprite"
      }
    }
  }
}

Over HTTP (remote clients)

Start the server with a port:

npm start -- --port 3100

Then point any MCP client to http://localhost:3100/mcp:

{
  "mcpServers": {
    "aseprite-mcp": {
      "url": "http://localhost:3100/mcp",
      "type": "http",
      "headers": {}
    }
  }
}

Health check: http://localhost:3100/health

Cline / Roo Code

Add to cline_mcp_settings.json or roo_mcp_settings.json:

{
  "mcpServers": {
    "aseprite-mcp": {
      "command": "node",
      "args": ["path/to/aseprite-mcp/dist/index.js"],
      "env": {
        "ASEPRITE_PATH": "/path/to/aseprite"
      }
    }
  }
}

Using ASEPRITE_PATH with the MCP config

If the auto-detection fails, pass the environment variable in the MCP server config:

{
  "env": {
    "ASEPRITE_PATH": "/Applications/Aseprite.app/Contents/MacOS/aseprite"
  }
}

See mcp.example.json for all config variants.

Example

An AI is asked to "draw a red heart on a 16x16 canvas":

1. Create the sprite

→ create_sprite(file: "heart.aseprite", width: 16, height: 16)
← Created sprite: heart.aseprite (16x16, rgb)

2. Draw the heart using rectangles and flood fill

The AI calls a series of drawing tools — first a red rectangle for the base, then flood fills to shape it into a heart.

→ draw_rectangle(file: "heart.aseprite", x: 2, y: 5, w: 12, h: 6, color: "#ff0000", fill: true)
← Rectangle drawn on heart.aseprite
→ flood_fill(file: "heart.aseprite", x: 2, y: 4, color: "#ff0000")
← Flood fill done on heart.aseprite
→ flood_fill(file: "heart.aseprite", x: 13, y: 4, color: "#ff0000")
← Flood fill done on heart.aseprite

3. Inspect the result

→ get_pixel_color(file: "heart.aseprite", x: 4, y: 4)
← Color at (4, 4): #ff0000ff (rgba: 255, 0, 0, 255)
→ export_png(file: "heart.aseprite", output: "heart.png")
← Exported PNG: heart.png

The AI reads back pixel data, verifies the shape, and exports the final sprite — all autonomously.

<!-- result . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . # # # . . # # # . . . . . . . # # # # # # # # # # . . . . . # # # # # # # # # # # # . . . . # # # # # # # # # # # # . . . . # # # # # # # # # # # # . . . . . # # # # # # # # # # . . . . . . . # # # # # # # # . . . . . . . . . # # # # # # . . . . . . . . . . . # # # # . . . . . . . . . . . . . # # . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . -->

Assets

The assets/ directory contains sample sprites generated with this server:

File Size Description
player.aseprite 64×64 Player character with head, body, arms, hands, legs — 14 animated frames (idle/walk/attack)
kitten_plane.aseprite 96×64 Orange kitten in a vintage toy airplane with aviator helmet and goggles
heart.aseprite 16×16 Heart pickup
coin.aseprite 16×16 Gold coin
enemy.aseprite 16×16 Spike-top enemy
platform.aseprite 32×16 Dirt platform with grass

Player Player Kitten plane Heart Coin Enemy Platform

Each .aseprite file has a scaled .png export. Open them in Aseprite to edit, or use the PNGs directly in a game.

opencode-office

The opencode-office/ directory is a pixel-art agent HQ for opencode, inspired by Pixel Agents. It visualizes AI agents as animated characters in a virtual office.

Blue agent Desk Chair Computer Plant

6 agent colors — blue, green, red, purple, orange, teal — each with 8 animation frames across 3 states:

State Frames Duration Description
idle 2 400ms Subtle breathing bounce
walk 4 150ms Leg alternation cycle
work 2 500ms Typing arm motion

Plus furniture: desk (24×16), chair (12×12), computer monitor (8×6 with glow), potted plant (12×12), and tileable floor/wall tiles.

Using the viewer

Open opencode-office/index.html in any browser:

  • Click + Agent / - Agent to spawn or remove pixel agents (up to 9 desks)
  • Agents auto-animate: work at their desk, take random walks, and return
  • Click an agent to inspect its name, state, and recent activity
  • Debug mode overlays state and position on each character

Regenerating office sprites

ASEPRITE_PATH="/path/to/aseprite" node scripts/generate-characters.cjs
ASEPRITE_PATH="/path/to/aseprite" node scripts/generate-furniture.cjs

License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured