Tempo Filler
Enables AI assistants to interact with JIRA's Tempo time tracking system.
Acerca de
This tool serves as a Model Context Protocol (MCP) server, bridging AI assistants with JIRA's Tempo Timesheets for comprehensive worklog management. Developed swiftly with AI-powered tools, it provides a robust interface for retrieving, creating, bulk posting, and deleting worklog entries, empowering AI to automate time tracking, analyze work patterns, and streamline reporting within JIRA.
Características Principales
- Create single worklog entries with automatic issue resolution
- Retrieve worklogs for users with date range and issue filtering
- Perform bulk creation of multiple worklog entries efficiently
- Delete existing worklog entries by ID
- 1 GitHub stars
- Generate analysis prompts for worklog data
Casos de Uso
- Perform bulk operations to fill monthly timesheets with predefined hours
- Automate daily time logging in JIRA via AI assistant commands
- Summarize and analyze time tracking data for specific periods or issues