# TickTick/Dida365 MCP Server

> Use this tool when you need to integrate AI assistants with task management systems, enabling seamless interaction with TickTick/Dida365 APIs to perform operations like task creation, updating, and deletion. It solves problems of workflow automation, task synchronization, and project management by providing a standardized interface for AI agents to access and manipulate tasks and projects. This server accepts AI requests as input and returns task management data as output, ideal for use cases requiring automated task management and workflow optimization.

Canonical page: https://skillsregistry.net/skills/zh1754629545-dida365-mcp-servers  
JSON: https://api.skillsregistry.net/v1/skills/zh1754629545-dida365-mcp-servers

## Description

A Model Context Protocol server that enables AI assistants to interact with TickTick/Dida365 task management API, supporting operations like creating, reading, updating, and deleting tasks and projects.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ms6ovpy516)
- **Repository:** <https://github.com/ZH1754629545/dida365-mcp-servers>

## 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": "zh1754629545-dida365-mcp-servers"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zh1754629545-dida365-mcp-servers` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zh1754629545-dida365-mcp-servers/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