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Workday Timesheet MCP Server

Workday Timesheet MCP Server

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github.com/albertnahasProductivity0Updated 77w ago
Repository

About Workday Timesheet MCP Server

Workday Timesheet MCP Server automates filling and submitting Workday timesheets and tracks submission status. It is intended for LLM applications that need to handle timesheet entry.

Key features

  1. 01Automatically fill and submit timesheets
  2. 02Track submission status

Use cases

  1. 01Enter weekly time in Workday
  2. 02Check whether a timesheet was submitted

MCP support

It exposes tools for filling and submitting Workday timesheets, plus a timesheet-status resource for MCP clients.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

Workday Timesheet MCP Server

A server for automatically filling Workday timesheets.

What is MCP?

The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external tools.

Features

Workday Timesheets
  • Fill out and submit timesheets automatically
  • Track timesheet submission status

Prerequisites

  • Python 3.12 or higher
  • Anthropic API key or other supported LLM provider

Setup

  1. Ensure you have a virtual environment activated:

    uv venv
source .venv/bin/activate  # On Unix/Mac

  2. Install required packages:

    uv pip install -r requirements.txt
playwright install

  3. Update the .env file with your API key:

    ANTHROPIC_API_KEY=your_openai_api_key_here

  4. Add Your organization's Workday URL (e.g., https://wd3.myworkday.com/company/d/home.htmld)

    Example:

    WORKDAY_URL=https://wd3.myworkday.com/company/d/home.htmld

Note

Since we're using stdio as MCP transport, we have disable all output from browser use

Debugging

You can run the MCP inspector tool with this command

uv run mcp dev server.py

You may need to launch a Chrome instance with remote debugging enabled:

/Google\ Chrome.app/Contents/MacOS/Google\ Chrome \
  --remote-debugging-port=9222 --user-data-dir=/tmp/chrome-debug

This allows the automation tools to connect to an existing Chrome instance.

Usage Examples

Workday Timesheets

Fill out a timesheet:

await fill_timesheet(
    week_start_date="2025-05-05",
    days_off="Monday"
    time_types="Admin",
)

Check timesheet submission status:

resource://timesheet_status/request_id

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.