What is the Clockify Time Tracker MCP Server?

It's a command-line tool to interact with the Clockify API for managing time entries, listing projects/tags, and generating reports. It is Python-based and leverages the Model Context Protocol (MCP).

What are the prerequisites for using this tool?

You need Python 3.8+ and a Clockify API key.

How do I install the Clockify Time Tracker MCP Server?

Clone the repository and run `pip install -r requirements.txt`.

How do I configure the API key?

Create a .env file with CLOCKIFY_API_KEY=your_clockify_api_key.

Can I integrate this with UBOS?

Yes! Integrating with UBOS allows you to automate time tracking, gain deeper insights, and optimize workflows using AI Agents.

What is MCP and why is it important?

MCP (Model Context Protocol) standardizes how applications provide context to LLMs, enabling AI models to effectively access and utilize data from external sources like Clockify. This improves AI-driven decision-making and automation capabilities.