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dida365 Agent MCP Server

@linhai0872

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

linhai0872

提交者

Hai Lin

关于 dida365 Agent MCP Server

MCP server that connects AI agents (Claude Code, Cursor, Codex) to Dida365/TickTick. 40 tools for tasks, projects, tags, habits, folders, and search — manage everything through natural language.

#dida365#ticktick#task-management#productivity#todo#ai-agent#python

dida365 Agent MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "dida365": {
      "command": "uvx",
      "args": [
        "dida365-agent-mcp"
      ]
    }
  }
}

dida365 Agent MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。

概览

What is dida365 Agent Mcp?

dida365 Agent Mcp is an MCP (Model Context Protocol) server that provides 40 tools to interact with the Dida365 (China) and TickTick (International) task management platforms. It combines official V1 Open API tools with private V2 API tools for advanced features like tags, habits, folders, and parent tasks. Designed for developers and power users who want to automate task management via AI agents.

How to use dida365 Agent Mcp?

Run uvx --from dida365-agent-mcp dida365-oauth once to authenticate via a one-click browser OAuth flow. Then add the server to your MCP client configuration using uvx dida365-agent-mcp as the command and args. The token is saved locally and lasts approximately 180 days.

Key features of dida365 Agent Mcp

  • 40 tools — 19 V1 (official Open API) + 21 V2 (private API)
  • Dual platform — supports Dida365 and TickTick via one environment variable
  • Dual transport — stdio for local clients, streamable-http for remote agents
  • One-click OAuth — automatic browser flow, token cached for ~180 days
  • Docker ready — deploy with a single docker compose up command

Use cases of dida365 Agent Mcp

  • Automate task creation, update, completion, and filtering across multiple projects
  • Manage tags, habits, folders, and parent-child task relationships
  • Search and move tasks using private V2 API endpoints
  • Integrate task management into AI agent workflows on both China and international platforms

常见问题

1

What is the difference between V1 and V2 tools?

V1 tools use the official Dida365/TickTick Open API and cover standard task and project operations. V2 tools use private APIs that enable extras like tags, habits, folders, and search.

2

How do I authenticate with the server?

Run `uvx --from dida365-agent-mcp dida365-oauth` once. This opens a browser for OAuth login and saves the token locally for repeated use (valid ~180 days).

3

Does it support both Dida365 and TickTick?

Yes. Set one environment variable to switch between Dida365 (China) and TickTick (International). Both platforms are fully supported.

4

What transports are available for the MCP server?

Two transports are supported: `stdio` for local client integration and `streamable-http` for remote agent connections.

5

Are there any runtime dependencies?

The server requires `uvx` to run. Docker is optional but recommended for simplified deployment via `docker compose up`.

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