About TimeTagger MCP Server
TimeTagger MCP Server connects TimeTagger with Claude and other MCP-compatible assistants. It provides tools and resources for managing time records, timers, tags, and settings.
Key features
- 01Query records by time range
- 02Create, update, and hide records
- 03Start and stop timers
- 04Summarize time by tags
- 05Read and update settings
Use cases
- 01Review records from a selected period
- 02Track work with start and stop timers
- 03Summarize time spent on tagged activities
MCP support
The MCP server exposes TimeTagger record, timer, tag-summary, and settings operations as tools, plus configuration, record, settings, and update resources.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
uvx 'git+https://github.com/regismesquita/timetagger-mcp'TIMETAGGER_API_KEYSecretTIMETAGGER_API_URLLocal servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMETimeTagger 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
-
Ensure you have uv installed:
brew install uv -
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 rangeget_recent_records(hours): Get records from the last N hoursget_today_records(): Get today's recordscreate_record(description, start_time, end_time): Create a new recordupdate_record(key, description, start_time, end_time): Update an existing recordhide_record(key): Hide/delete a recordstart_timer(description): Start a new timerstop_timer(key): Stop an ongoing timerfind_records_by_tag(tag, days): Find records with a specific tagget_time_summary(days): Get a summary of time spent on different tagsget_settings(): Get all TimeTagger settingsupdate_setting(key, value): Update a TimeTagger setting
Available Resources
timetagger://config: Get the TimeTagger configurationtimetagger://records/{timerange}: Get records within a timerangetimetagger://settings: Get all settingstimetagger://updates/{since}: Get updates since a specific timestamp
Comments
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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.