# Task MCP

> Use this tool when you need to manage tasks in Dida365 through a standardized protocol, enabling AI assistants to create, update, and filter tasks seamlessly with automatic timezone handling. It solves problems of task lifecycle management, providing a unified interface for task creation, updates, and queries. Ideal for use cases requiring integrated task management with timezone awareness, it accepts task data as input and returns managed task outputs.

Canonical page: https://skillsregistry.net/skills/clearner1-task-mcp  
JSON: https://api.skillsregistry.net/v1/skills/clearner1-task-mcp

## Description

Enables AI assistants to manage Dida365 (滴答清单) tasks through the Model Context Protocol. It supports full task lifecycle management including creating, updating, and filtering tasks with automatic timezone handling.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jnp2xsq0ef)
- **Repository:** <https://github.com/Clearner1/task-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": "clearner1-task-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/clearner1-task-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/clearner1-task-mcp/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