What prerequisites are required?
Python 3.12 or higher, an Anthropic API key (or other supported LLM provider), Playwright, and a Chrome instance with remote debugging enabled.
@albertnahas
基本情報
概要はまだありません
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": {
"worday-timesheet-mcp-server": {
"command": "uv",
"args": [
"run",
"mcp",
"dev",
"server.py"
]
}
}
}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。
A server that uses the Model Context Protocol (MCP) to automatically fill and submit timesheets in Workday. It is intended for users who want to automate their timesheet entry process, potentially through integration with LLM applications.
Install Python 3.12+ and uv, set up a virtual environment, and install required packages (uv pip install -r requirements.txt and playwright install). Configure your .env file with ANTHROPIC_API_KEY and WORKDAY_URL. Run the server with uv run mcp dev server.py. Use the fill_timesheet function with parameters such as week_start_date, days_off, and time_types, or check submission status via the timesheet_status resource.
Python 3.12 or higher, an Anthropic API key (or other supported LLM provider), Playwright, and a Chrome instance with remote debugging enabled.
Create a `.env` file with `ANTHROPIC_API_KEY` and `WORKDAY_URL` (your organization's Workday homepage URL
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable,

Request dedicated senior developers to work on your project, write job descriptions, and prep technical interviews — all without leaving your Claude chat. Just describe what you need, and Lemon.io MCP does the rest. 1–3
A curated list of references for MLOps

Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.

Connect your AI assistant to your own YOUB endurance training account. Read recorded activities with full analysis, planned sessions, race goals, wellness (HRV, sleep, resting HR) and your athletic profile. Create or mov
コメント