A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow transitions.

Plugin-first AI terminal workspace for Codex and Claude Code with planning, CI/CD debugging, reusable agents, skills, TODOs, and MCP tool integrations.

MCP tutorials

Open source MCP server for Jira & Atlassian — manage issues, sprints & Confluence via Claude, Cursor, or any MCP client. No install, just npx.

A comprehensive, production-ready Model Context Protocol (MCP) server for seamless Jira Cloud integration. This enhanced version provides advanced features, robust error handling, and extensive tooling for AI agents, automation systems, and custom applications.

Jira MCP Server — issues, projects, sprints, boards, JQL search for AI agents in ADK-Rust Enterprise

Transform product requirements into Jira-ready JPD items, Epics, Stories, and Tasks.

JIRA_MCP-AQRO is an intelligent QA automation system that integrates Jira, Zephyr, and AI services to automatically generate, prioritize, and execute regression testing based on sprint changes, historical defects, and risk modeling. It goes beyond simple automation by introducing decision-making, adaptive regression selection & continuous learning.

Automated AI workflows using Model Context Protocol (MCP) with Playwright for visual testing and JIRA for bug tracking.

Simple MCP server for Jira integration. Allows AI assistants to access issues, projects, and perform JQL searches in your Jira system with clean, formatted output.