# Dooist

> Use this tool when you need to manage and organize tasks efficiently, and solve problems related to workflow tracking, due date reminders, and project prioritization. It takes natural language inputs and provides a structured output of tasks with priorities, labels, and projects. Ideal for use cases where task management and workflow optimization are crucial, such as personal to-do lists, team projects, and deadline-driven tasks.

Canonical page: https://skillsregistry.net/skills/papermoose-dooist  
JSON: https://api.skillsregistry.net/v1/skills/papermoose-dooist

## Description

A task management MCP server that allows users to create, list, and organize tasks with priorities, labels, and projects using natural language. It provides a persistent SQLite-backed system for tracking due dates and managing task workflows directly within Claude Code.

## Trust

- **Trust score (0–1):** 0.99
- **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:** [Glama](https://glama.ai/mcp/servers/ep5pctethd)
- **Repository:** <https://github.com/paperMoose/dooist>

## 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": "papermoose-dooist"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/papermoose-dooist` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/papermoose-dooist/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