Question 1

What is an MCP Server?

Accepted Answer

An MCP (Model Context Protocol) server acts as a bridge, enabling AI models to access and interact with external data sources and tools. It standardizes how applications provide context to Large Language Models (LLMs).

Question 2

How does the Dida365 MCP Server work?

Accepted Answer

The Dida365 MCP Server allows AI assistants to manage tasks and projects in Dida365 after user authorization. It provides tools for getting projects, creating, updating, and deleting tasks.

Question 3

What are the prerequisites for using the Dida365 MCP Server?

Accepted Answer

You need Node.js (v14 or higher), npm or yarn, and a Dida365 (TickTick) account.

Question 4

How do I get my Dida365 API token?

Accepted Answer

Create a new app on the Dida365 developer platform, configure the OAuth redirect URL, and obtain your Client ID and Client Secret. Then, use the provided URL to get your token.

Question 5

What clients are compatible with the Dida365 MCP Server?

Accepted Answer

The server is compatible with clients like Cursor and Claude Desktop. Configuration instructions are provided for each client.

Question 6

What features are currently unavailable due to API limitations?

Accepted Answer

The server cannot currently get tasks from a specific project, update or delete tasks in a specific project, or create new tasks in a specific project.

Question 7

What is UBOS?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform that helps businesses orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents.

Question 8

Where can I view the service runtime logs?

Accepted Answer

You can view the service runtime logs in the `src/server.log` file.

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