What does the Clockify MCP Server do?
It lets you register time entries in Clockify by simply sending a prompt to an LLM, which then creates the entries via the Clockify API.
@https-eduardo
基本信息
A MCP Server to manage your time entries in Clockify
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"clockify-mcp-server": {
"command": "npx",
"args": [
"-y",
"@smithery/cli",
"install",
"@https-eduardo/clockify-mcp-server",
"--client",
"claude"
]
}
}
}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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
Clockify MCP Server integrates AI tools (LLMs) with the Clockify time‑tracking API, allowing users to create and manage time entries by simply sending a natural‑language prompt.
Install via Smithery with npx -y @smithery/cli install @https-eduardo/clockify-mcp-server --client claude, or manually by installing tsx globally and adding the server to your claude_desktop_config.json with the required environment variables CLOCKIFY_API_URL and CLOCKIFY_API_TOKEN.
It lets you register time entries in Clockify by simply sending a prompt to an LLM, which then creates the entries via the Clockify API.
First install `tsx` globally with `npm i -g tsx`, then add the server definition to your Claude Desktop config, specifying the absolute path to `src/index.ts` and the required environment variables.
You must set `CLOCKIFY_API_URL` (typically `https://api.clockify.me/api/v1`) and `CLOCKIFY_API_TOKEN` (your Clockify API token).

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