Connects AI assistants to ActivityWatch for real-time computer activity awareness and time tracking analysis. Enables natural language queries about app usage, browsing history, and productivity patterns through high-level tools without requiring AQL syntax knowledge.
Enables LLM agents to query and analyze ActivityWatch time tracking data, including window activity, web browsing, and category management with natural language time periods and automatic data aggregation.
Integrates Rize.io's time tracking and productivity analytics with AI assistants via the Model Context Protocol, enabling natural language queries about productivity metrics, focus sessions, and project management.
An implementation of Model Context Protocol (MCP) that allows users to interact with TripleWhale's e-commerce analytics platform using natural language queries through Claude Desktop.