What environment variables are required?
You must set `TIMETAGGER_API_KEY` and `TIMETAGGER_API_URL` before running the server.
@regismesquita
基本情報
A MCP server for the timetagger tool, allowing you to start, stop timers and get reports directly from your MCP Client
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": {
"timetagger": {
"command": "uvx",
"args": [
"--from",
"git+https://github.com/regismesquita/timetagger-mcp",
"timetagger-mcp"
],
"env": {
"TIMETAGGER_API_KEY": "",
"TIMETAGGER_API_URL": ""
}
}
}
}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。
上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。
TimeTagger MCP Server is a Model Context Protocol (MCP) server that allows you to interact with TimeTagger through Claude or other MCP-compatible AI assistants. It provides tools to query, create, update, and hide time records, manage timers, and retrieve time summaries.
Install by adding the uvx command block to your Claude Desktop configuration with environment variables TIMETAGGER_API_KEY and TIMETAGGER_API_URL. Alternatively, install uv, clone the repository, and run uv pip install -r requirements.txt. For development, use fastmcp dev timetagger_mcp.py to open the MCP Inspector interface.
You must set `TIMETAGGER_API_KEY` and `TIMETAGGER_API_URL` before running the server.
Add the `uvx` configuration block shown in the README to your `claude_desktop_config.json` file and restart Claude.
Yes, run `fastmcp dev timetagger_mcp.py` to launch the MCP Inspector interface where you can interact with all tools and resources.
It depends on Python, `uv`, and the packages listed in `requirements.txt`. The recommended runner is `uvx`, which handles dependencies automatically.
The server authenticates with your TimeTagger instance using an API key passed via the `TIMETAGGER_API_KEY` environment variable.
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