Guides, tutorials, and articles for the Pix3lTools ecosystem.
An overview of the Pix3lTools ecosystem: what it is, what problems it solves, and how the tools work together.
Read →Deploy Pix3lBoard, Pix3lWiki, Pix3lPrompt, and Pix3lMCP on your own server using Docker Compose.
Read →Solutions to common issues: database errors, authentication problems, MCP configuration, and Docker setup.
Read →How Pix3lBoard extends the classic Kanban board with AI-specific fields: prompts, ratings, job numbers, and a full REST API.
Read →Complete reference for the Pix3lBoard REST API v1: authentication, boards, lists, cards, and API keys.
Read →How to link wiki pages to cards, navigate between the two apps, and set up cross-app integration.
Read →How to install Pix3lMCP and use it from Claude Code to manage boards, lists, and cards directly from your AI assistant.
Read →Complete parameter reference for all 17 tools, with real workflow examples for managing Pix3lBoard from Claude Code.
Read →Professional cross-platform desktop image editor built with C++ and Qt 6.
Read →AI-powered image analysis and cataloging system built with C++ and Qt.
Read →High-performance video frame extractor built with C++ and Qt.
Read →Versatile image format converter: PNG, JPEG, and SVG to ICO. Built with C++ and Qt.
Read →All Pix3lTools projects are open source.
Pix3ltools-lab on GitHub