"Canvas" matching MCP servers:

An MCP server that turns Claude into a full image production studio, enabling creation, editing, resizing, and brand-consistent asset generation across multiple platforms.

Provides image generation capabilities using Amazon Nova Canvas through Amazon Bedrock, enabling the creation of visuals from text prompts and color palettes—perfect for mockups, diagrams, and UI design concepts.

A local stdio MCP server for visual AI work, offering an Excalidraw infinite canvas, image generation and editing, HTML drafts, presentations, and durable task recovery within a project workspace.

An MCP server for Claude Code that enables the creation and manipulation of professional-grade SVG graphics using features like layer management, complex path drawing, and animations. It includes AI-assisted design capabilities for color suggestions and layout optimization, supporting exports to SVG and PNG formats.

Enables MCP clients to operate a RunningHub infinite canvas through a local bridge and Chrome extension using the current logged-in session: reading nodes and prompts, cloning templates, laying out and connecting nodes, uploading images/audio/video, submitting generation, and archiving outputs. Supports both the international (www.runninghub.ai / rhtv.runninghub.ai) and China sites, with dry-run previews and revision-checked edits.

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.

An MCP server that allows you to generate and edit images using Amazon Bedrock's Nova Canvas model, supporting features like text-to-image generation, inpainting, outpainting, image variation, and background removal.

Enables AI agents to create, render, and validate 3D scenes, 2D art, and games in HTML canvas using Three.js, WebGL, or Canvas 2D, with multi-angle screenshots, structured validation reports, and interactive playtesting.

media-gen renders Claude-authored content — SVG markup, HTML documents, or a JavaScript canvas draw() function — into PNG/JPEG/WebP images and MP4 video using headless Chromium and ffmpeg, with no API keys required. It also offers an optional bring-your-own-key path for photorealistic text-to-image and text-to-video generation via OpenAI, Gemini, or fal.ai.

Enables AI agents to generate teacher verification documents such as employment letters, teacher IDs, teaching licenses, and payslips for 13 countries through MCP tools. It supports listing countries and schools, then producing one or more documents as PNG files.

Enables AI to create pixel art in Aseprite through pixel-level drawing primitives, read canvas screenshots, and iterate until satisfied.

Lets agents directly read and edit the live ComfyUI canvas in a browser while retaining official Comfy MCP headless tools and local management.

A local MCP server for creating and editing pixel art canvases as PNG files, with drawing tools, animation support, and various canvas operations.

Translates astronomical constellation patterns and mythological metadata into deterministic compositional parameters for AI image generation. It allows users to search constellations by theme and map star patterns to precise canvas focal points across various scales.

Gives AI agents a real paint canvas over MCP — layers, anti-aliased shapes, paths, brushes, fills, gradients, filters, transforms, undo/redo, and PNG/JPG/BMP/SVG import-export — with every drawing call returning the picture so the model can inspect and correct its own work. Ships one tool per operation plus a batch tool, preview, inspect, and an optional localhost live view.

An MCP server that integrates with a local ComfyUI, allowing assistants to list and run workflows, monitor progress, and view results, as well as read and edit the live workflow canvas via an optional bridge node.

A local Model Context Protocol server that lets MCP hosts inspect and edit the workflow currently open on a live ComfyUI canvas, including node and group operations applied as atomic undoable transactions.

An MCP server that enables AI coding agents to create pixel art programmatically by providing canvas manipulation tools and PNG export.

A universal MCP server that lets agents discover ComfyUI nodes, build/edit/run API workflows, manage queues, retrieve outputs, and optionally render graphs on a ComfyUI canvas.

Enables users to automate the creation, editing, animation, and export of pixel-art game assets through a multi-agent pipeline that derives style specs and blueprints, generates Lua build scripts, and drives the canvas editor to produce .aseprite files, spritesheets, atlases, GIFs, and previews.