Tiny TODO MCP Server

@tkc

Basic information

About Tiny TODO MCP Server

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.

#mcp #claude #mcp-server

Tiny TODO MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Tiny TODO MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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.

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