Node.js/TypeScript MCP server for Atlassian Jira. Equips AI systems (LLMs) with tools to list/get projects, search/get issues (using JQL/ID), and view dev info (commits, PRs). Connects AI capabilities directly into Jira project management and issue tracking workflows.
Overview
What is Atlassian Jira MCP Server?
The Atlassian Jira MCP Server is a TypeScript-based Model Context Protocol (MCP) server designed for integrating Claude/Anthropic AI systems with Atlassian Jira, enabling seamless access and management of Jira projects and issues.
How to use Atlassian Jira MCP Server?
To use the server, configure it with your Atlassian site details and API token, then integrate it with AI systems like Claude Desktop or Cursor AI to fetch and manage Jira data.
Key features of Atlassian Jira MCP Server?
- Integration with AI systems: Connects Claude and other MCP-compatible AI systems to Jira.
- CLI Support: Provides a command-line interface for direct interaction with Jira.
- Flexible Configuration: Supports environment variables and global configuration files for easy setup.
- Comprehensive Jira Access: Allows listing and retrieving details of projects and issues with JQL filtering.
Use cases of Atlassian Jira MCP Server?
- Automating project management tasks in Jira using AI.
- Fetching project and issue details through voice commands in AI assistants.
- Integrating Jira data into custom AI workflows for enhanced productivity.
FAQ from Atlassian Jira MCP Server?
- Can I use this server with any AI system?
Yes, it is designed to work with any MCP-compatible AI system.
- Is there a command-line interface available?
Yes, you can use the CLI for direct interaction with Jira.
- What configuration options are available?
You can configure using environment variables or a global configuration file.