MCP server using the Aseprite API to create pixel art
Unleash the power of Large Language Models (LLMs) within your Aseprite workflows with the Aseprite MCP Tools. This Python module acts as a robust Model Context Protocol (MCP) server, enabling seamless communication between LLMs and the Aseprite API. Imagine AI-powered assistance for pixel art creation, automated animation tasks, and intelligent content generation โ all driven by the contextual awareness that MCP provides.
Key Features:
Installation & Configuration:
To integrate Aseprite MCP Tools into your LLM environment, configure your mcpServers
settings as follows:
{ "mcpServers": { "aseprite": { "command": "/opt/homebrew/bin/uv", "args": [ "--directory", "/path/to/repo", "run", "-m", "aseprite_mcp" ] } } }
Explanation:
"aseprite"
: A unique identifier for your Aseprite MCP server."command"
: The path to your Python environment's executable (e.g., uv
, python
). Adjust this based on your environment."args"
: An array of arguments passed to the command.
"--directory"
: Specifies the directory containing the aseprite_mcp
module."run"
: Executes the specified module."-m"
: Indicates that the following argument is a module name."aseprite_mcp"
: The name of the Python module to execute (the Aseprite MCP server).Example Use Case:
As demonstrated in the linked demo (https://github.com/user-attachments/assets/572edf75-ab66-4700-87ee-d7d3d196c597), you can use an LLM like Cursor to control Aseprite directly. Imagine instructing the LLM to "draw a cloud in Aseprite," and the MCP server translates that instruction into precise API calls to create the desired artwork.
Unlock the potential of AI-assisted pixel art creation with Aseprite MCP Tools!
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