Tiny TODO MCP: Persistent Tasks & Seamless Intelligence Scaling

Tiny TODO MCP: The MCP server empowering AI assistants to break free from context limits—persist tasks, retain history, and scale intelligence seamlessly.

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About Tiny TODO MCP

What is Tiny TODO MCP: Persistent Tasks & Seamless Intelligence Scaling?

Imagine your AI assistant suddenly gained a superpower to remember tasks forever—and even grow smarter over time. That's Tiny TODO MCP! This MCP-compliant server acts like a digital butler, keeping track of to-dos, deadlines, and priorities so your AI can focus on being awesome instead of forgetting where it left its metaphorical keys.

How to use Tiny TODO MCP: Persistent Tasks & Seamless Intelligence Scaling?

Just like teaching a robot to organize your chaos:

Connect your AI assistant via MCP protocol (no magic spells required)
Let it store tasks with details like "Buy milk before it becomes a science experiment" and deadlines that actually mean something
Watch the system auto-sort overdue reminders before they turn into existential crises

Tips: Works best with caffeine-powered developers and a SQLite database.

Tiny TODO MCP Features

Key Features of Tiny TODO MCP: Persistent Tasks & Seamless Intelligence Scaling?

Task Time Machine™: Rewind or fast-forward through task history with search filters (e.g., "Show me all the things I said I'd do last decade")
Fail-Safe Reminders: Never again miss deadlines—unless you deliberately ignore the "Overdue Nuclear Alert" notifications
AI-Friendly API: Speaks MCP natively, handles errors like a polite AI mediator ("Hmm, that task doesn't exist. Maybe try checking the 'Buy more existential dread' list?")
Scalable Intelligence: Grow from managing 3 tasks to 3000 without needing a PhD in database tuning

Use cases of Tiny TODO MCP: Persistent Tasks & Seamless Intelligence Scaling?

Perfect for:

Turning your AI into a personal productivity wizard ("Alexa, remind me to stop procrastinating on procrastination tracking")
Powering chatbots that actually remember your grocery list from last month
Building AI project managers that send overdue task S&M messages (the "Status & Motivation" kind... probably)
Creating time-traveling to-do lists where tasks age like fine wine (or not)

Tiny TODO MCP FAQ

FAQ from Tiny TODO MCP: Persistent Tasks & Seamless Intelligence Scaling?

Will it work with my existing AI assistant?: As long as it speaks MCP, we're best friends forever. SQLite is the only requirement—no blockchain or quantum computing needed.
Can it handle urgent tasks?: Yes! It prioritizes overdue tasks like a caffeine addict prioritizes coffee. Expect automated reminders starting at 3 AM if you leave something hanging.
Does it have humor detection?: No, but it will faithfully log your "Buy a duck" task next to your tax filings. Organized chaos is still chaos—we just alphabetize it.
How scalable is "seamless"?: Imagine adding 1000 tasks without breaking a sweat (or the database). The layered architecture works like a digital Swiss Army knife—precision tools, no bloat.

Content

Tiny TODO MCP

A Model Context Protocol (MCP) server implementation providing persistent task management capabilities for AI assistants.

Overview

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.

Features

TODO System

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

Integration

Follows the Model Context Protocol standard
Designed for easy integration with AI assistants
Provides consistent error handling and responses

Use Cases

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

Architecture

Tiny Memory MCP uses a SQLite database for persistent storage, with a clean layered architecture separating:

Tool interface (MCP protocol implementation)
Service layer (business logic)
Repository layer (data access)
Database layer (storage)

Each tool exposed through the MCP interface provides clear documentation of its capabilities, parameters, and return values.