# Tiny TODO

> Use this tool when you need to enable AI assistants to manage tasks persistently, tracking completion status and due dates beyond their usual context limitations. It solves the problem of transient task management by providing a layered architecture for creating, updating, deleting, and searching TODOs. With SQLite data storage, it offers a reliable interface for AI models to interact with task data, making it ideal for scenarios requiring long-term task tracking.

Canonical page: https://skillsregistry.net/skills/tkc-tiny-todo  
JSON: https://api.skillsregistry.net/v1/skills/tkc-tiny-todo

## Description

Tiny TODO MCP is a specialized server that enables AI assistants to maintain persistent task management capabilities beyond their usual context limitations. Built with SQLite for data storage, it provides a clean layered architecture that allows AI models to create, update, delete, and search TODOs with features like completion status tracking and due date management. The implementation follows a structured approach with database, repository, and service layers, making it particularly valuable for scenarios requiring AI assistants to track tasks over time with persistent storage.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/tkc-tiny-todo)
- **Repository:** <https://github.com/tkc/tinyt-todo-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tkc-tiny-todo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tkc-tiny-todo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tkc-tiny-todo/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt