# Dida365

> Use this tool when you need to integrate task management capabilities into conversational AI interfaces, enabling users to manage their Dida365 tasks and lists through voice or text commands. It solves problems of accessibility and convenience by allowing AI assistants to interact with the Dida365 API, supporting operations such as task and project management. The tool takes in API requests and returns task management data, making it ideal for use cases where users want to control their Dida365 accounts through MCP-compatible AI assistants like Claude or Cursor.

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

## Description

A TypeScript-based MCP server that integrates with Dida365 (滴答清单), a popular Chinese task management and to-do list application. Built using the Model Context Protocol SDK, axios for HTTP requests, and dotenv for configuration management, this implementation enables AI assistants to interact with Dida365's API for task and project management operations. The server is packaged as an npm module with a command-line interface and supports Node.js 18+, making it useful for users who want to manage their Dida365 tasks and lists through conversational interfaces with Claude, Cursor, or other MCP-compatible AI assistants without directly accessing the Dida365 app.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **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:** [PulseMCP](https://www.pulsemcp.com/servers/dida365)
- **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": "dida365"
    }
  }
}
```

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