Time Doctor FAQs

Question 1

What is Time Doctor MCP and how does it help?

Accepted Answer

Time Doctor MCP (Model Context Protocol) is a server that enables AI assistants to directly access, convert, and process your Time Doctor time tracking reports into clean, comprehensive CSV data for easy analysis.

Question 2

Which AI assistants are compatible with Time Doctor MCP?

Accepted Answer

It integrates seamlessly with a range of AI environments, including Claude Desktop/Code, Cursor IDE, Google Gemini CLI, and VS Code with GitHub Copilot, allowing you to fetch data directly within your preferred assistant.

Question 3

What data features does Time Doctor MCP offer?

Accepted Answer

It provides single-session scraping for efficiency, fetches data for any custom date range (1 to 365+ days), accurately parses '3h 50m' times into decimal hours, aggregates duplicate tasks, and includes a convenient TOTAL row in reports.

Question 4

How does Time Doctor MCP streamline data extraction and access?

Accepted Answer

By returning comprehensive CSV data directly as text to your AI assistant, it eliminates file system issues, manual downloads, and tedious parsing, making your Time Doctor data immediately available for advanced queries and custom analysis.

Question 5

Is Time Doctor MCP difficult to set up?

Accepted Answer

No, the `uvx` method offers a no-installation setup. You only need to install `uv` and Playwright browsers once, then configure your AI assistant with simple JSON settings to get started quickly.

Time Doctor

Time Doctor

Key Features

Use Cases

Key Features

Use Cases