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Timing MCP Server

by tomoyanakano

The Timing MCP Server enables AI assistants to interact with the Timing application's features. It allows users to manage their time tracking and tasks more efficiently through AI integration.

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What is Timing MCP Server?

The Timing MCP Server is a Model Context Protocol server designed to bridge the gap between AI assistants and the Timing application. It provides a set of tools that allow AI agents to query and manipulate data within Timing, enabling automated time tracking and task management.

How to use Timing MCP Server?

To use the server, you need to clone the repository, install dependencies using npm, and configure the server with your Timing API key. The configuration involves setting up a mcp.json file in the appropriate directory for your AI assistant (e.g., Claude or Cursor) with the correct path to the server's executable.

Key features of Timing MCP Server

  • List projects in Timing

  • Get project details

  • Create, update, and manage projects

  • Start, stop, list, and update time entries

  • Generate reports using time entry and app usage

Use cases of Timing MCP Server

  • Automating time tracking based on AI assistant commands

  • Integrating Timing data into AI-powered productivity workflows

  • Creating and managing projects and tasks through voice commands

  • Generating time tracking reports on demand using AI

  • Using AI to analyze time usage and suggest improvements

FAQ from Timing MCP Server

Is this project affiliated with Timing?

No, this is an independent project created to enhance the functionality of the Timing application.

What prerequisites are required to run this server?

You need Node.js, npm, and a Timing account with API access.

How do I get my Timing API key?

You can get your Timing API Key from here

Where do I save the configuration file for Claude?

Save it as claude_desktop_config.json in your Claude Desktop configuration directory at ~/Library/Application Support/Claude/

Where do I save the configuration file for Cursor?

Save it as mcp.json in your Cursor configuration directory at ~/.cursor/