Clockify MCP Server

Name: Clockify MCP Server
Author: inakianduaga

@inakianduaga

リポジトリ

Clockify MCP Server について

Clockify Model Context Protocol (MCP) server

基本情報

カテゴリ

その他

ライセンス

MIT

ランタイム

node

トランスポート

stdio

公開者

inakianduaga

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "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": []
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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

FAQ from Clockify MCP Server

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).

What tools are available in this server?

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

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.