Tiny TODO MCP

What is Tiny TODO MCP?

Tiny TODO MCP is a Model Context Protocol (MCP) server that provides persistent task management for AI assistants. It stores tasks with titles, descriptions, and due dates, enabling AI models to maintain task context beyond their usual context limitations.

How to use Tiny TODO MCP?

Set up the Tiny TODO MCP server and connect your AI assistant via the Model Context Protocol. Once integrated, the assistant can invoke tools to create, update, delete, search, and manage tasks with due dates and completion status.

Key features of Tiny TODO MCP

• Create TODOs with titles, descriptions, and due dates
• Update tasks to mark complete or incomplete
• Delete tasks from the system
• Search tasks by status and due dates
• View upcoming and overdue tasks
• Layered architecture with SQLite storage

Use cases of Tiny TODO MCP

• Extend AI capabilities with persistent task tracking
• Enable AI assistants to track tasks with due dates and completion status
• Support time-aware task reminders for upcoming and overdue tasks

FAQ from Tiny TODO MCP

What does Tiny TODO MCP do that built-in AI context cannot?

It provides persistent storage for tasks, allowing AI assistants to maintain and manage tasks beyond their usual context window.

What database does Tiny TODO MCP use for storage?

It uses a SQLite database for all persistent data.

Can Tiny TODO MCP handle task due dates and reminders?

Yes, it supports storing due dates and provides views for upcoming and overdue tasks.

What is the architecture of the server?

It follows a layered architecture: tool interface (MCP protocol), service layer (business logic), repository layer (data access), and database layer (storage).

Does Tiny TODO MCP support authentication or specific transports?

The README does not specify authentication or transport details beyond implementing the Model Context Protocol standard.