jiramcp

This tool enables AI assistants to interact with Jira programmatically through the Model Context Protocol. Users can ask their AI assistant to search issues, create and update tickets, add comments, break epics into tasks, and analyze developer workload—all through natural language. It's designed for developers using Cursor or Claude Desktop who want to manage Jira without leaving their AI workflow.

Built to learn and experiment with the Model Context Protocol (MCP) while solving a practical integration problem: enabling AI assistants to directly manage Jira issues. The comprehensive .cursor/rules directory (10 rule files covering architecture, error handling, Jira API standards, testing, etc.) suggests this was a learning exercise in building production-quality MCP servers with proper TypeScript patterns, testing, and error handling.

TypeScript (98.5%), Node.js v20+, MCP SDK, Jira Cloud REST API, Zod for validation, Jest for testing, ESLint and Prettier for code quality, tsx for execution, GitHub Actions for CI/CD.

Last active Feb 3, 2026 — 5 commits across 2 active days (spanning 0 days).

Very early-stage development with 5 commits over 2 active days (Feb 2-3, 2026). Despite the short timeframe, the codebase shows substantial setup: comprehensive testing infrastructure, CI/CD workflows, extensive cursor rules for code quality, and a full-featured learning/pattern engine for smart defaults.

The server is functional and ready for real use: it has complete installation documentation for both Cursor and Claude Desktop, working Jira API integration with auth, a suite of practical tools (search, CRUD operations, workload analysis), tests, CI/CD pipelines, and even a sophisticated learning engine for capturing usage patterns. While only 2 days old, the thoroughness of the setup and working integrations make this a usable tool rather than just a prototype.