# Dida365 (TickTick)

> Use this tool when you need to integrate task management capabilities into conversational interfaces, enabling AI assistants to create, update, retrieve, and delete tasks on behalf of users. It solves problems of workflow management and task organization, providing a seamless experience through authentication and project creation tools. The tool accepts user authorization and project/task data as inputs and outputs managed tasks and project information, ideal for use cases that require task management integration within conversation flows.

Canonical page: https://skillsregistry.net/skills/iamjzx-dida365  
JSON: https://api.skillsregistry.net/v1/skills/iamjzx-dida365

## Description

Dida365 (TickTick) MCP Server provides tools for AI assistants to interact with the Dida365 task management API after user authorization. It enables managing tasks and projects through a set of MCP tools that handle authentication, project creation, and task operations (creating, updating, retrieving, and deleting tasks). The server is built with Node.js, packaged as a Docker container, and configured through Smithery.ai, making it ideal for workflows that require task management integration without leaving the conversation interface.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** cloud-infra
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/iamjzx-dida365)
- **Repository:** <https://github.com/iamjzx/dida>

## 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": "iamjzx-dida365"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/iamjzx-dida365` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/iamjzx-dida365/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