What is TimeTagger MCP Server?
The TimeTagger MCP Server is a Model Context Protocol (MCP) server for the TimeTagger tool. It allows users to handle their time records through AI assistants that support MCP.
How to use TimeTagger MCP Server?
To get started, install the necessary dependencies and set your API key as an environment variable. You can then run the server in development mode or install it for use with applications like Claude Desktop.
Key features of TimeTagger MCP Server?
You can query time records within specific date ranges. It supports creating, updating, and hiding or deleting records. The server also allows you to start and stop timers, get time summaries grouped by tags, and manage your TimeTagger settings.
Use cases of TimeTagger MCP Server?
Common uses include tracking time spent on different projects, managing records for productivity analysis, and integrating with AI assistants to automate time management tasks.
FAQ from TimeTagger MCP Server?
How do I install TimeTagger MCP Server? Follow the installation steps in the documentation, which cover installing dependencies and configuring your API key.
Can I use TimeTagger MCP Server with any AI assistant? Yes, it is built to work with any AI assistant that is MCP-compatible.
What programming language is TimeTagger MCP Server written in? It is written in Python.