概要
This Python-based Model Context Protocol (MCP) server bridges the gap between your ActivityWatch time tracking data and powerful Large Language Models (LLMs) like Claude. By connecting to your running ActivityWatch instance, it provides a structured interface, allowing LLMs to access, query, and analyze your productivity and activity logs. The server facilitates tasks such as listing buckets, running AQL (ActivityWatch Query Language) queries, retrieving raw events, and accessing settings, transforming your raw time tracking data into an accessible format for AI-driven insights.
