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Atlassian MCP Server

Enables AI assistants to interact with Jira by executing commands through the Atlassian CLI. It supports searching issues with JQL, managing comments, updating statuses, and handling issue assignments through natural language.

Updated
Feb 17, 2026

Atlassian MCP Server

MCP server that lets AI assistants interact with Jira through the Atlassian CLI.

Quick Start

See QUICKSTART.md for installation and setup.

Features

✅ Search issues with JQL queries
✅ View full issue details
✅ Add comments
✅ Update status/transitions
✅ Assign to users
✅ Manage labels and custom fields
✅ Link related issues

How It Works

The MCP server calls the Atlassian CLI (acli) commands:

  1. AI assistant calls an MCP tool (e.g., jira_search)
  2. MCP server executes corresponding acli command
  3. Results are parsed and returned to the AI

Prerequisites

  • Node.js 18+
  • Atlassian CLI: winget install Atlassian.AtlassianCli
  • Authenticated Jira account: acli jira auth login

Available Tools

ToolDescription
jira_searchSearch with JQL queries
jira_get_issueGet issue details
jira_commentAdd comments
jira_update_statusChange status
jira_assignAssign to user
jira_set_fieldUpdate custom fields
jira_add_labelAdd labels
jira_remove_labelRemove labels
jira_link_issueLink issues

Usage Example

Ask your AI assistant:

  • "Find my open work items"
  • "Add a comment to PROJ-123"
  • "Show high priority issues"
  • "Move PROJ-456 to In Progress"

The AI will automatically use the appropriate MCP tools.

Development

npm install     # Install dependencies
npm run build   # Build TypeScript
npm run watch   # Auto-rebuild on changes
npm start       # Run the server

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