tinyt-todo-mcp
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Tiny TODO MCP is a server implementation that provides persistent task management capabilities for AI assistants using the Model Context Protocol.
Tiny TODO MCP is a specialized server that implements the Model Context Protocol (MCP), allowing AI assistants to interact with persistent storage for tasks. This enables AI models to maintain context over time and create and manage tasks beyond their usual context limitations. The server supports a comprehensive TODO system, allowing for the creation, updating, deletion, and searching of tasks. It is designed for easy integration with AI assistants, providing consistent error handling and responses. The architecture of Tiny TODO MCP is built on a SQLite database, with a clean layered structure that separates the tool interface, service layer, repository layer, and database layer.
Features
- Create TODOs: Store tasks with titles, descriptions, and due dates.
- Update TODOs: Mark tasks as complete or incomplete.
- Delete TODOs: Remove tasks from the system.
- Search TODOs: Find tasks by various criteria including completion status and due dates.
- Task Management: View upcoming and overdue tasks.