TimeTagger MCP Server

TimeTagger MCP Server

By regismesquita GitHub

A MCP server for the timetagger tool, allowing you to start, stop timers and get reports directly from your MCP Client

Overview

what is TimeTagger MCP Server?

TimeTagger MCP Server is a Model Context Protocol (MCP) server designed for the TimeTagger tool, enabling users to manage and query their time records through compatible AI assistants.

how to use TimeTagger MCP Server?

To use the TimeTagger MCP Server, install the required dependencies, set your API key as an environment variable, and run the server in development mode or install it for use with Claude Desktop.

key features of TimeTagger MCP Server?

  • Query time records within specific timeframes
  • Create, update, hide/delete time records
  • Start and stop timers
  • Get time summaries by tags
  • Manage TimeTagger settings

use cases of TimeTagger MCP Server?

  1. Tracking time spent on various projects
  2. Managing time records for productivity analysis
  3. Integrating with AI assistants for automated time management

FAQ from TimeTagger MCP Server?

  • How do I install TimeTagger MCP Server?

Follow the installation instructions provided in the documentation, including installing dependencies and setting up your API key.

  • Can I use TimeTagger MCP Server with any AI assistant?

Yes, it is designed to work with any MCP-compatible AI assistant.

  • What programming language is TimeTagger MCP Server written in?

TimeTagger MCP Server is written in Python.

Content

TimeTagger MCP Server

This is a Model Context Protocol (MCP) server for interacting with TimeTagger. It provides tools to query and manage your time records through Claude or other MCP-compatible AI assistants.

Features

  • Query time records within specific timeframes
  • Create new time records
  • Update existing records
  • Hide/delete records
  • Get time summaries by tags
  • Start and stop timers
  • Manage TimeTagger settings

Claude Desktop Installation

Add this to your claude_desktop_config.json:

"timetagger": {
  "command": "uvx",
  "args": [
    "--from",
    "git+https://github.com/regismesquita/timetagger-mcp",
    "timetagger-mcp"
  ],
  "env": {
    "TIMETAGGER_API_KEY": "your-api-key-here",
    "TIMETAGGER_API_URL": "https://your-timetagger-instance.com/api/v2"
  }
}

Manual Installation

  1. Ensure you have uv installed:

    brew install uv
    
  2. Install the required dependencies:

    uv pip install -r requirements.txt
    

Configuration

The server requires your TimeTagger API key to be set as an environment variable:

export TIMETAGGER_API_KEY="your-api-key-here"
export TIMETAGGER_API_URL="https://your-timetagger-instance.com/api/v2"

Usage

Running in Development Mode

For testing and development, use:

fastmcp dev timetagger_mcp.py

This will launch the MCP Inspector interface where you can test the tools and resources.

Installing for Claude Desktop

To use with Claude Desktop:

fastmcp install timetagger_mcp.py

Available Tools

  • get_records(start_time, end_time): Get records within a time range
  • get_recent_records(hours): Get records from the last N hours
  • get_today_records(): Get today's records
  • create_record(description, start_time, end_time): Create a new record
  • update_record(key, description, start_time, end_time): Update an existing record
  • hide_record(key): Hide/delete a record
  • start_timer(description): Start a new timer
  • stop_timer(key): Stop an ongoing timer
  • find_records_by_tag(tag, days): Find records with a specific tag
  • get_time_summary(days): Get a summary of time spent on different tags
  • get_settings(): Get all TimeTagger settings
  • update_setting(key, value): Update a TimeTagger setting

Available Resources

  • timetagger://config: Get the TimeTagger configuration
  • timetagger://records/{timerange}: Get records within a timerange
  • timetagger://settings: Get all settings
  • timetagger://updates/{since}: Get updates since a specific timestamp
No tools information available.
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