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AI Agent Analysis
AS

atlassian/atlassian-mcp-server

Official remote MCP server for Atlassian. Securely connect Jira, Confluence, Jira Service Management, Bitbucket, and Compass to Claude, ChatGPT, Cursor, VS Code, and other AI tools using OAuth 2.1 or API tokens.

stars
905
Language
JavaScript
GitHub
Source and compliance noteLast synced: Jul 26, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub sourceMethodologyEditorial Policy

Overview

The Atlassian Rovo MCP Server is an official remote MCP server that provides a cloud-hosted bridge for AI tools to securely access Atlassian products (Jira, Confluence, Jira Service Management, Bitbucket, and Compass) in real-time using OAuth 2.1 or API tokens.

Installation

Install via npm: `npm install @atlassian/mcp-server` or use the MCP registry entry `com.atlassian`.

Problem solved

It solves the problem of securely connecting AI agents to enterprise Atlassian data without exposing API keys or managing complex authentication flows. Unlike generic MCP servers, it provides a pre-built, Atlassian-maintained integration with OAuth 2.1 support, reducing development overhead for teams wanting AI-powered access to their project management and collaboration tools.

What you can build

Developers can build AI assistants that query Jira issues, fetch Confluence pages, manage service desk tickets, browse Bitbucket repositories, and navigate Compass components. Real-world use cases include automated project status updates, AI-driven documentation search, incident response triage, and code review assistance. The ceiling is limited only by the Atlassian APIs—essentially any action available via the Atlassian REST APIs can be exposed to AI agents.

Community sentiment

Positive

No community feedback yet.

Concerns

No concerns documented yet.

Bottom line

This is ideal for teams already using Atlassian products who want to integrate AI agents for productivity. It should be avoided by those not using Atlassian or needing on-premise solutions. The key trade-off is convenience vs. dependency: you gain a secure, ready-made bridge but are locked into Atlassian Cloud and its API rate limits.

Analyzed by Git-Stars - 7/21/2026