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).
@inakianduaga
基本情報
Clockify Model Context Protocol (MCP) server
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": []
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
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。
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.
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.
Log in to your Clockify account, go to Profile, scroll to the API section, and click Generate (or copy your existing key).
The server provides six tools: listProjects, getTimeEntries, addTimeEntry, listUsers, getUserTimeEntries, and getSummaryReport.
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.
Yes, the project is licensed under the MIT License. See the LICENSE file in the repository for details.
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