Question 1

What is an MCP Server?

Accepted Answer

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. An MCP server acts as a bridge, allowing AI models to access and interact with external data sources and tools, such as date/time information or note management.

Question 2

What are the key features of the DateTime MCP Server?

Accepted Answer

The server provides resources to access current date and time, tools to format dates and manage notes, and prompts to schedule events or summarize notes. Key resources include `datetime://current`, `datetime://today`, `datetime://time`, and `note://internal/{name}`.

Question 3

How do I install the DateTime MCP Server?

Accepted Answer

You can install the server by cloning the repository, creating a virtual environment, and installing the dependencies using `uv`. Detailed instructions are provided in the installation section of the documentation.

Question 4

How do I connect to the server?

Accepted Answer

You can connect to the server using any MCP client, such as the MCP CLI. The server listens on stdin/stdout for MCP protocol messages.

Question 5

What is UBOS, and how does the DateTime MCP Server integrate with it?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform that helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents. The DateTime MCP Server seamlessly integrates with UBOS, providing AI agents with real-time date/time information and note management capabilities.

Question 6

Can I use the DateTime MCP Server with other AI platforms besides UBOS?

Accepted Answer

Yes, the DateTime MCP Server is designed to be used with any AI platform that supports the MCP protocol.

Question 7

What formats does the `get-current-time` tool support?

Accepted Answer

The `get-current-time` tool supports ISO, readable, Unix timestamp, and RFC3339 formats.

Question 8

How can I contribute to the DateTime MCP Server project?

Accepted Answer

You can contribute by forking the repository, creating a feature branch, making your changes, running the tests, and submitting a pull request.

Question 9

Where can I find more information about the MCP Inspector for debugging?

Accepted Answer

You can find more information about the MCP Inspector at [https://github.com/modelcontextprotocol/inspector](https://github.com/modelcontextprotocol/inspector).

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