ActivityWatch MCP Server
Model Context Protocol server for ActivityWatch time tracking data
What is ActivityWatch MCP Server?
What is ActivityWatch MCP Server? ActivityWatch MCP Server is a Model Context Protocol server that connects to ActivityWatch, enabling LLMs like Claude to interact with your time tracking data. How to use ActivityWatch MCP Server? To use the server, install it via npm or build it from source, then configure it with your Claude for Desktop application to start querying your ActivityWatch data. Key features of ActivityWatch MCP Server? List all available ActivityWatch buckets Execute powerful AQL (ActivityWatch Query Language) queries Retrieve raw events from any bucket Access ActivityWatch configuration settings Use cases of ActivityWatch MCP Server? Querying application usage statistics Analyzing productivity trends over time Integrating time tracking data with AI models for insights FAQ from ActivityWatch MCP Server? What is required to run the server? You need ActivityWatch installed and running, Node.js (v14 or higher), and a compatible MCP client like Claude for Desktop. How do I install the server? You can install it globally via npm or build it from the source code available on GitHub. What kind of queries can I run? You can run queries to list buckets, get application usage summaries, view browsing history, and check productivity metrics.
As an MCP (Model Context Protocol) server, ActivityWatch MCP Server enables AI agents to communicate effectively through standardized interfaces. The Model Context Protocol simplifies integration between different AI models and agent systems.
How to use ActivityWatch MCP Server
To use the server, install it via npm or build it from source, then configure it with your Claude for Desktop application to start querying your ActivityWatch data. Key features of ActivityWatch MCP Server? List all available ActivityWatch buckets Execute powerful AQL (ActivityWatch Query Language) queries Retrieve raw events from any bucket Access ActivityWatch configuration settings Use cases of ActivityWatch MCP Server? Querying application usage statistics Analyzing productivity trends over time Integrating time tracking data with AI models for insights FAQ from ActivityWatch MCP Server? What is required to run the server? You need ActivityWatch installed and running, Node.js (v14 or higher), and a compatible MCP client like Claude for Desktop. How do I install the server? You can install it globally via npm or build it from the source code available on GitHub. What kind of queries can I run? You can run queries to list buckets, get application usage summaries, view browsing history, and check productivity metrics.
Learn how to integrate this MCP server with your AI agents and leverage the Model Context Protocol for enhanced capabilities.
Use Cases for this MCP Server
- No use cases specified.
MCP servers like ActivityWatch MCP Server can be used with various AI models including Claude and other language models to extend their capabilities through the Model Context Protocol.
About Model Context Protocol (MCP)
The Model Context Protocol (MCP) is a standardized way for AI agents to communicate with various services and tools. MCP servers like ActivityWatch MCP Server provide specific capabilities that can be accessed through a consistent interface, making it easier to build powerful AI applications with complex workflows.
Browse the MCP Directory to discover more servers and clients that can enhance your AI agents' capabilities.