Dida365 MCP Server

Dida365 AI Tools - MCP Server & CLI for 滴答清单, manage your tasks with Claude Code or command line. That is what the dida365 mcp server brings to an AI assistant: the same capability, reachable through the Model Context Protocol rather than a separate app or dashboard.

The short version

Dida365（滴答清单）v3.0.0 MCP Server + CLI 工具，使用私有 API + Cookie 认证：

The tools it exposes

The server publishes 2 tools. What each one is for:

• CLI — 命令行直接操作，可脚本化、可管道、可接入 OpenClaw
• Smithery — Visit smithery.ai and search for dida365-ai-tools

Getting it running

The server ships on npm as dida365-ai-tools, so your MCP client can launch it on demand — there is no separate build step. Add the server block to your client's configuration, restart it, and the tools register themselves.

How it compares

Among the developer tooling options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Dida365's toolset — CLI, Smithery — is a fair guide to whether it matches your workflow. It is maintained by GitHub Actions; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Dida365's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Things to watch

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Keep per-call confirmation enabled while you learn its behaviour; it is the cheapest safeguard you have.