A Model Context Protocol (MCP) server written in Go that empowers AI agents and Large Language Models (LLMs) to seamlessly interact with Kanboard. It transforms natural language commands into Kanboard API calls, enabling intelligent automation of project, task, and user management, streamlining workflows, and enhancing productivity.

🎯 Production-ready synthetic dataset generator with local LLM integration. Create realistic, schema-compliant test data for healthcare, fintech, and e-commerce applications. Privacy-first with deterministic generation.

Docker MCP: A Model Context Protocol implementation for Docker operations, enabling AI assistants to seamlessly manage containers, images, and networks via standardized JSON-RPC interface.