# DoneTick MCP Server

> DoneTick MCP Server — bibiwan-mcp-donetick. Use this tool when you need to integrate AI assistants with task management systems, enabling them to manage chores, projects, and team members. It solves problems of automated task assignment and synchronization, providing real-time updates over HTTP SSE. Ideal for use cases requiring seamless communication between AI agents and task management platforms, with inputs including chore and project data, and outputs including updated task statuses and smart sensor triggers.

Canonical page: https://skillsregistry.net/skills/bibiwan-mcp-donetick  
JSON: https://api.skillsregistry.net/v1/skills/bibiwan-mcp-donetick

## Description

Enables AI assistants to manage DoneTick chores, subtasks, labels, projects, members, and smart sensor triggers over HTTP SSE.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/cyakpsxeb3)
- **Repository:** <https://github.com/bibiwan/mcp_donetick>

## 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": "bibiwan-mcp-donetick"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bibiwan-mcp-donetick` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bibiwan-mcp-donetick/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