Enables interaction with Atlassian services through the Atlassian CLI, allowing AI assistants to perform operations across the Atlassian suite, specifically targeting Jira workflow management.
Provides tools for interacting with Jira, enabling AI assistants to search issues with JQL, view details, add comments, update statuses, assign users, manage labels, and link related issues.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Atlassian MCP ServerFind all high priority bugs assigned to me in the WEB project"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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:
AI assistant calls an MCP tool (e.g.,
jira_search)MCP server executes corresponding
aclicommandResults are parsed and returned to the AI
Prerequisites
Node.js 18+
Atlassian CLI:
winget install Atlassian.AtlassianCliAuthenticated Jira account:
acli jira auth login
Available Tools
Tool | Description |
| Search with JQL queries |
| Get issue details |
| Add comments |
| Change status |
| Assign to user |
| Update custom fields |
| Add labels |
| Remove labels |
| Link 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.