What is the Clockify MCP Server?

The Clockify MCP Server is a tool that allows Large Language Models (LLMs) like Cursor or Claude to interact with your Clockify workspace, enabling advanced time-tracking automation and reporting.

What can I do with the Clockify MCP Server?

You can list projects and users in your workspace, add and look up time entries, pull timesheets, and generate monthly or custom date range breakdowns of hours by user and project.

How do I get a Clockify API Key?

Log in to your Clockify account, click on your profile icon, select ‘Profile,’ and scroll down to the ‘API’ section. You can generate or copy your existing API key there.

How do I configure the Clockify MCP Server for Cursor/Claude?

Add the provided JSON configuration to your Cursor or Claude settings.json file, replacing YOUR_API_KEY with your actual Clockify API key.

Where can I find the Docker image for the Clockify MCP Server?

The Docker image is available at ghcr.io/inakianduaga/clockify-mcp:latest. You can pull it using the command docker pull ghcr.io/inakianduaga/clockify-mcp:latest.

What is UBOS?

UBOS is a full-stack AI Agent Development Platform focused on bringing AI Agents to every business department. It helps you orchestrate AI Agents, connect them with your enterprise data, and build custom AI Agents with your LLM model and Multi-Agent Systems.

How does the Clockify MCP Server integrate with UBOS?

The Clockify MCP Server can be integrated into UBOS’s AI Agent orchestration platform, allowing you to build more complex and automated time-tracking workflows as part of a broader AI strategy.

What is MCP?

MCP is an open protocol that standardizes how applications provide context to LLMs. The Clockify MCP server uses this protocol to allow LLMs to interact with Clockify.