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Clockify MCP Server

@inakianduaga

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

inakianduaga

关于 Clockify MCP Server

Clockify Model Context Protocol (MCP) server

Clockify MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "clockify-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "CLOCKIFY_API_KEY=<YOUR_API_KEY>",
        "ghcr.io/inakianduaga/clockify-mcp:latest"
      ],
      "disabled": false,
      "autoApprove": []
    }
  }
}

Clockify MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is Clockify MCP Server?

An MCP server that lets LLMs like Cursor or Claude interact with your Clockify workspace for time‑tracking automation and reporting. It enables listing projects, users, time entries, and generating summary reports.

How to use Clockify MCP Server?

Configure the server in your Cursor or Claude settings.json using Docker, passing your Clockify API key as an environment variable. Then invoke the provided tools (listProjects, getTimeEntries, etc.) from your LLM.

Key features of Clockify MCP Server

  • List all projects in your workspace
  • List all users in your workspace
  • Add and look up time entries for yourself or any user
  • Pull timesheets for any user across all projects
  • Generate monthly or custom date range breakdowns by user and project

Use cases of Clockify MCP Server

  • Automate time‑tracking entries directly from an LLM conversation
  • Generate monthly summary reports for billing or team analysis
  • Query and summarize time entries for a specific user or project
  • Integrate Clockify data with other LLM‑powered workflows

常见问题

1

How do I obtain a Clockify API key?

Log in to your Clockify account, go to Profile, scroll to the API section, and click Generate (or copy your existing key).

2

What tools are available in this server?

The server provides six tools: listProjects, getTimeEntries, addTimeEntry, listUsers, getUserTimeEntries, and getSummaryReport.

3

What are the runtime requirements?

The server runs as a Docker container. You must have Docker installed and configure the MCP client to use the `ghcr.io/inakianduaga/clockify-mcp:latest` image.

4

Is the server open source and what license does it use?

Yes, the project is licensed under the MIT License. See the LICENSE file in the repository for details.

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