This MCP server implementation provides natural language time tracking integration with Harvest, enabling AI assistants to interact with Harvest's time tracking and project management features. Developed by Adrian, it offers tools for managing projects, tracking time entries, and handling leave requests. Built with TypeScript and leveraging the Model Context Protocol SDK, the server focuses on secure credential management through environment variables and supports easy configuration within AI assistant environments. It is particularly useful for automating time tracking workflows, streamlining project management tasks, and integrating Harvest operations into AI-assisted work processes. The implementation includes features like natural language parsing for time entries and customizable work day hours and leave types.
Log time entries using natural language. Examples include specifying hours spent on projects or making leave requests.
Get time reports using natural language queries, with options to filter by time period, project, client, task, or team member.
List all available Harvest projects.
List available tasks for a specific project.
View recent time entries.
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