# dida365-agent

> Use this tool when you need to manage tasks, projects, and habits in Dida365 or TickTick using natural language commands. It solves problems of task organization and automation by providing full CRUD, search, and advanced V2 capabilities through a natural language interface. This tool is ideal for AI agents requiring seamless integration with Dida365 or TickTick to streamline task management workflows.

Canonical page: https://skillsregistry.net/skills/linhai0872-dida365-agent  
JSON: https://api.skillsregistry.net/v1/skills/linhai0872-dida365-agent

## Description

MCP server that enables AI agents to manage Dida365/TickTick tasks, projects, tags, and habits through natural language, with full CRUD, search, and advanced V2 capabilities.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-06-12

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/jxozxvhmui)
- **Repository:** <https://github.com/linhai0872/dida365-agent>

## 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": "linhai0872-dida365-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/linhai0872-dida365-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/linhai0872-dida365-agent/pull`

---
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