Clockify MCP

Clockify MCP Server

This MCP server allows LLMs (such as Cursor or Claude) to interact with your Clockify workspace, enabling advanced time-tracking automation and reporting. With this server, you can:

• List all projects in your workspace
• List all users in your workspace
• Add and look up time entries for yourself or any user (if you have permissions)
• Pull timesheets for any user across all projects
• Generate monthly or custom date range breakdowns of hours by user and project using the Clockify summary report API
• Integrate with LLMs to automate, summarize, or analyze your time-tracking data

Features

• listProjects: List all projects for the authenticated user
• getTimeEntries: List time entries for the authenticated user (with optional date filters)
• addTimeEntry: Add time entries to a project
• listUsers: List all users in the workspace
• getUserTimeEntries: List time entries for any user (with optional date filters)
• getSummaryReport: Get a summary report of hours by user/project for a date range (optionally filtered by userIds/projectIds). Enables monthly/hourly breakdowns for any user or project.

Quick Start (Docker — Preferred)

MCP Server Configuration for Cursor/Claude

Add the following to your Cursor or Claude settings.json (replace YOUR_API_KEY):

How to Obtain a Clockify API Key

1. Log in to your Clockify account.
2. Click on your profile icon (top right) and select Profile.
3. Scroll down to the API section.
4. Click Generate if you don't have an API key, or copy your existing key.

Contributing & CI/CD

This project uses GitHub Actions to automatically build and publish the Docker image to GitHub Container Registry (GHCR) on every push to main.

• Image URL: ghcr.io/inakianduaga/clockify-mcp:latest
• How to pull the image:
  docker pull ghcr.io/inakianduaga/clockify-mcp:latest
• How to run:
  docker run -e CLOCKIFY_API_KEY=YOUR_API_KEY ghcr.io/inakianduaga/clockify-mcp:latest

You can view published images in the "Packages" section of your GitHub profile or repository.

Memory Bank & Optimizations

Development has been done using cursor together with optimized rules. See: https://github.com/Bhartendu-Kumar/rules_template