Clockify MCP
Clockify MCP
Tools
listProjects
List all projects for the authenticated user.
getSummaryReport
Get a summary report of hours by user/project for a date range. Optional: userIds, projectIds.
getUserTimeEntriesByName
List time entries for a user by name (case-insensitive, partial match allowed). Optional: start, end (ISO8601).
getTimeEntries
List time entries for the authenticated user. Optional: start, end (ISO8601).
addTimeEntry
Add a time entry to a project.
listUsers
List all users in the workspace.
getUserTimeEntries
List time entries for a specified user. Optional: start, end (ISO8601).
README
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):
{
"mcpServers": {
"clockify-mcp": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e", "CLOCKIFY_API_KEY",
"ghcr.io/inakianduaga/clockify-mcp:latest"
],
"env": {
"CLOCKIFY_API_KEY": "YOUR_API_KEY"
},
"disabled": false,
"autoApprove": []
}
}
}
How to Obtain a Clockify API Key
- Log in to your Clockify account.
- Click on your profile icon (top right) and select Profile.
- Scroll down to the API section.
- 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
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。