Enables AI models to directly control a local Krita instance by inspecting real canvas previews, managing documents and layers, importing and masking generated images, inpainting, painting with the brush engine, checkpointing, and exporting KRA/PNG files.
Enables LLM-driven painting agents to control Krita through MCP tools, iteratively reconstructing a target image by observing canvas snapshots, diff heatmaps, and session state. It exposes observation, drawing, brush, color, layer, selection, vector, filter, document I/O, and session tools for closed-loop artwork generation.
Enables MCP-compatible AI clients to control a running Krita instance, allowing them to create canvases, paint strokes, draw shapes, export images, and perform other painting tasks.
Enables an AI assistant to inspect and edit a live Krita 6 desktop session, create and modify documents and layers, paint with native brushes, and receive inline PNG previews.
Enables AI clients to drive pixel-art workflows through 169 tools spanning Retro Diffusion generation, Aseprite editing, and Krita painting, with independently gated subsystems.
Enables automated game development by orchestrating multi-agent teams (design, programming, 2D/3D art, supervision, QA) through LangGraph and an MCP gateway that drives Blender, Krita, Godot, and Git to produce runnable game builds.
Enables Claude to query your KRÉTA student data locally and read-only, including timetables, homework, grades, tests, and absences, using your own credentials via OAuth/PKCE.
A Windows computer-control MCP server for the DeepSeek Harness plugin that lets an agent take screenshots, magnify the view for low-vision assistance, move and click the mouse, type and press keys, enumerate and focus windows, and switch input methods. It also bridges to Krita to drive drawing, pressure-curve, liquify, smudge, and brush operations.