What are the prerequisites?
Python 3.10 or higher, `uv` (fast package installer), and a TickTick account with API credentials (Client ID, Client Secret, Access Token).
@jacepark12
Basic information
MCP server that interacts with TickTick (Dida 365) via the TickTick Open API
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"ticktick-mcp": {
"command": "uv",
"args": [
"venv"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol server that lets you manage your TickTick tasks and projects directly through Claude or any other MCP client, using TickTick’s open API.
Install the package with uv, run the OAuth2 authentication command (uv run -m ticktick_mcp.cli auth), and configure Claude for Desktop by adding the server entry to claude_desktop_config.json. Once connected, MCP tools become available in the client.
Python 3.10 or higher, `uv` (fast package installer), and a TickTick account with API credentials (Client ID, Client Secret, Access Token).
The server uses OAuth2. Running `uv run -m ticktick_mcp.cli auth` opens a browser to authorize your account, then automatically saves the tokens in a `.env` file. Token refresh is handled automatically.
Yes. Set environment variables for the Dida365 API URLs before authentication, then follow the same OAuth2 steps.
The server works with any MCP client, including Claude for Desktop. Configuration requires adding the server to the client's MCP settings file.
API tokens are stored locally in a `.env` file. All task data resides on TickTick’s servers and is accessed via their official API.
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