ChatGPT MCP Integration — Control Teetrack from ChatGPT

Q: What is MCP and how does it work with ChatGPT?

MCP (Model Context Protocol) is a standard that lets AI assistants like ChatGPT call external tools. The Teetrack MCP server exposes 67 tools that ChatGPT can invoke to read and write data in your Teetrack workspace.

Q: How many tools does the Teetrack MCP server provide?

The Teetrack MCP server exposes 67 tools covering time entries, projects, clients, reports, timers, tags, and workspace management.

Q: Is my data safe when using MCP?

The MCP server runs locally or on your own infrastructure and connects to your Teetrack instance with your API token. ChatGPT sends tool calls to the server, which then communicates with Teetrack. Your data stays within your control.

Q: Can I use this alongside the Teetrack web interface?

Yes. MCP is an additional access method. You can use ChatGPT for quick actions and the web interface for detailed reviews, reports, and configuration.

Q: What can I say to ChatGPT to control Teetrack?

Anything you would normally do in Teetrack: "Start a timer for project X", "How many hours did I track this week?", "Create a new project called Landing Page Redesign for client Acme", "Show me unbilled time entries."

Use ChatGPT to manage your time tracking in Teetrack with 67 MCP tools at your fingertips.

Connect Teetrack to ChatGPT via the Model Context Protocol (MCP). Start timers, log time, manage projects, and query reports — all through natural language in ChatGPT.

Requirements

A Teetrack account with API access
ChatGPT desktop app or a client that supports MCP
The Teetrack MCP server installed and configured

How to Connect

Step 1: Install the Teetrack MCP server

Clone or install the Teetrack MCP server package. The server exposes 67 tools that ChatGPT can call to interact with your Teetrack workspace.

Step 2: Configure your Teetrack API credentials

Set your Teetrack API URL and authentication token as environment variables so the MCP server can connect to your workspace.

Step 3: Add the MCP server to your ChatGPT configuration

Register the Teetrack MCP server in your ChatGPT desktop app or compatible client so ChatGPT can discover and call Teetrack tools.

Step 4: Start using natural language to manage time

Ask ChatGPT things like "Start a timer for the Acme website redesign" or "Show me this week's tracked hours by project." ChatGPT calls the right Teetrack MCP tools automatically.

What you can do

Start and stop timers via chat: Tell ChatGPT to start a timer on a specific project and client. Stop it when you are done. No need to open the Teetrack UI.
Log time entries with natural language: Say "Log 2 hours on the API migration project yesterday" and ChatGPT creates the entry in Teetrack with the right project, duration, and date.
Query reports and summaries: Ask for weekly summaries, project breakdowns, or billable hour totals. ChatGPT fetches the data from Teetrack and formats it for you.
Manage projects and clients: Create new projects, update client details, or archive old entries — all through conversational commands in ChatGPT.

Frequently Asked Questions

What is MCP and how does it work with ChatGPT?

How many tools does the Teetrack MCP server provide?

Is my data safe when using MCP?

Can I use this alongside the Teetrack web interface?

What can I say to ChatGPT to control Teetrack?

Control your time tracking from ChatGPT with Teetrack MCP

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67 MCP tools for complete time tracking control via AI.