ActivityWatch MCP Server

Example Use Cases

• 1

  Query and analyze time tracking data from ActivityWatch using natural language.

• 2

  Retrieve raw event data and settings from ActivityWatch for detailed insights.

• 3

  Integrate ActivityWatch data with LLMs like Claude for productivity and usage summaries.

Description

This MCP server provides tools to list ActivityWatch buckets, run AQL queries, retrieve raw events, and access settings, allowing seamless integration of ActivityWatch data with language models. It is implemented in Python with native UVX support for easy deployment and better integration in Python environments. The server supports multiple MCP clients such as Claude Desktop, OpenCode, and Crush, facilitating enhanced productivity and data analysis through natural language queries.