# Dida365 MCP Server

> Use this tool when you need to manage tasks efficiently using natural language, enabling AI assistants to create, edit, and complete tasks in Dida365 (TickTick) with features like prioritization, deadlines, and reminders. It solves problems of task management automation, streamlining workflows, and enhancing productivity. Ideal for use cases where voice or text-based task management is required, providing a seamless interface between AI agents and Dida365 task management.

Canonical page: https://skillsregistry.net/skills/bayinl-dida-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bayinl-dida-mcp

## Description

Enables AI assistants to directly manage Dida365 (TickTick) tasks, including creating, editing, completing, and setting priorities, deadlines, subtasks, reminders, and recurring tasks via natural language.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kn4da779i8)
- **Repository:** <https://github.com/BayInl/Dida-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": "bayinl-dida-mcp"
    }
  }
}
```

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