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byDevparihar5
0
Developer Tools
Productivity & Workflow
API Development

Enables AI assistants to seamlessly interact with Atlassian Jira through a comprehensive Python-based Model Context Protocol server.

About

This enterprise-grade Python-based server acts as a bridge, allowing AI assistants like Claude to effortlessly manage Atlassian Jira tasks. It offers a full suite of features for issue management, sprint tracking, and time logging, designed with robust error handling and flexible deployment options to provide extensive Jira interaction capabilities for AI.

Key Features

  • Robust Error Handling and Async Architecture for high performance
  • Advanced Sprint & Project Operations (move issues, list sprints, get active sprint)
  • 0 GitHub stars
  • Comprehensive Jira Issue Management (create, update, search, transition)
  • Multiple Deployment Modes (Stdio, HTTP server, Docker containerization)
  • Seamless Commenting & Time Tracking (add comments, log work with flexible formats)

Use Cases

  • Automating Jira issue creation, updates, and workflow transitions via AI assistants.
  • Generating reports and analyses on Jira data by querying through an AI assistant.
  • AI-driven sprint management, including moving issues to sprints and tracking progress.
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