The Dida365 (TickTick) MCP Server allows AI assistants to interact with the Dida365 (TickTick) API, enabling them to manage tasks and projects after user authorization. This tool bridges the gap between AI systems and your task management workflow.
You can install the Dida365 MCP server using Smithery CLI:
npx -y @smithery/cli@latest install @iamjzx/dida
During installation, you'll be prompted to enter:
If you prefer manual installation:
npm install
Before using the server, you need to:
http://localhost:4000/oauth/callback
)
npx -y @smithery/cli@latest run @iamjzx/dida --client cursor --config '{"clientId":"YOUR_CLIENT_ID","clientSecret":"YOUR_CLIENT_SECRET","port":"4000"}'
"dida365": {
"command": "npx",
"args": ["-y", "@smithery/cli@latest", "run", "@iamjzx/dida"],
"env": {
"CLIENT_ID": "YOUR_CLIENT_ID",
"CLIENT_SECRET": "YOUR_CLIENT_SECRET",
"SERVER_PORT": "4000"
}
}
If you've cloned the repository and installed dependencies:
# Set required environment variables
export CLIENT_ID=YOUR_CLIENT_ID
export CLIENT_SECRET=YOUR_CLIENT_SECRET
export SERVER_PORT=4000 # Optional, defaults to 4000
# Start the server
npm start
On Windows:
set CLIENT_ID=YOUR_CLIENT_ID
set CLIENT_SECRET=YOUR_CLIENT_SECRET
set SERVER_PORT=4000
npm start
The server provides several tools for interacting with Dida365:
Use dida365_getProjects
to retrieve all projects.
Use dida365_createProject
with these parameters:
name
: Project namecolor
: (Optional) Project colorUse dida365_getTasks
with these parameters:
projectId
: (Optional) Get tasks from a specific projectUse dida365_createTask
with these parameters:
title
: Task titlecontent
: (Optional) Task content/descriptionprojectId
: (Optional) Project IDstartDate
: (Optional) Start date in ISO formatdueDate
: (Optional) Due date in ISO formatpriority
: (Optional) Priority level (0-5)reminders
: (Optional) Array of reminder timesUse dida365_updateTask
with these parameters:
taskId
: Task ID to updatetitle
: (Optional) New task titlecontent
: (Optional) New task contentprojectId
: (Optional) New project IDstartDate
: (Optional) New start datedueDate
: (Optional) New due datepriority
: (Optional) New priority levelstatus
: (Optional) Task status (0 for not completed, 2 for completed)reminders
: (Optional) New array of reminder timesUse dida365_deleteTask
with this parameter:
taskId
: Task ID to deleteThere are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json
file so that it is available in all of your projects.
If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json
file.
To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".
When you click that button the ~/.cursor/mcp.json
file will be opened and you can add your server like this:
{
"mcpServers": {
"cursor-rules-mcp": {
"command": "npx",
"args": [
"-y",
"cursor-rules-mcp"
]
}
}
}
To add an MCP server to a project you can create a new .cursor/mcp.json
file or add it to the existing one. This will look exactly the same as the global MCP server example above.
Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.
The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.
You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.