atlassian-mcp-server

Atlassian

Atlassian Rovo MCP Server

The official Model Context Protocol (MCP) server for Atlassian: a cloud-hosted bridge that gives your AI tools secure, real-time access to Jira, Confluence, Jira Service Management, Bitbucket, and Compass.

Official Atlassian Server GitHub stars License: Apache 2.0 Status: Generally Available

Model Context Protocol compatible MCP Registry: com.atlassian Auth: OAuth 2.1 or API token Hosting: Atlassian Cloud

Jira Confluence Jira Service Management Bitbucket Compass Rovo

Getting started · Supported tools · Security & admin · Community


The official Atlassian Rovo MCP Server is a cloud-based bridge between your Atlassian Cloud site and compatible external tools. Once configured, it enables those tools to interact with Jira, Confluence, Jira Service Management, Bitbucket, and Compass data in real time. Authentication uses OAuth 2.1 or API tokens, so every action respects the user’s existing access controls.

With the Atlassian Rovo MCP Server, you can:

It’s built for developers, content creators, and project teams who work in IDEs or AI tools and want to use Atlassian data without constantly switching context.

One-click setup

Pick your AI client below to install the official Atlassian Rovo MCP Server. Each button uses your client’s native install link, so you don’t need to edit any JSON config by hand.

Add to Cursor
Add to Cursor

Reference issues and log work in your codebase.
Add to VS Code
Add to VS Code

Search and create Jira issues via GitHub Copilot.
Add to ChatGPT
Add to ChatGPT

Search, summarize, and create right from ChatGPT.
Add to Claude
Add to Claude

Bring Jira and Confluence into Claude workflows.

Contents


Supported clients

The Atlassian Rovo MCP Server works with a growing list of MCP-compatible clients:

Client Setup reference
OpenAI ChatGPT Connectors / MCP guide
Claude (Claude.ai, Desktop, and Code) Claude MCP docs
Cursor Atlassian on the Cursor marketplace
Visual Studio Code (GitHub Copilot) VS Code MCP docs
GitHub Copilot CLI About Copilot CLI
Google Gemini CLI Gemini CLI MCP docs
Amazon Quick Suite MCP integration guide

The Atlassian Rovo MCP Server also supports any local MCP-compatible client that can run on localhost and connect to the server via the mcp-remote proxy. This enables custom or third-party integrations that follow the MCP specification.

[!TIP] For the current, canonical list of supported clients and step-by-step setup, see Getting started with the Atlassian Rovo MCP Server. You can also refer to your client’s own MCP documentation or built-in assistant.


Supported products and tools

Tools are organized by product and intent (read, write, or search). Organization admins grant or revoke access at the permission-group level, and each tool inherits the access of its parent group.

Product Permission groups OAuth 2.1 API token
Jira read · write · search
Confluence read · write · search
Jira Service Management read · write ✅ (only)
Bitbucket Cloud read · write ✅ (scoped, only)
Compass read · write ✅ (only)
Atlassian platform read_teamwork_graph · search_atlassian

[!NOTE] Jira Service Management and Bitbucket Cloud tools are available only via API token authentication, while Compass tools are available only via OAuth 2.1. For the complete, current tool reference, see Supported tools.


Before you start

Check that your environment meets these requirements before you set up the server.

Prerequisites

The requirements depend on how you connect:

For supported clients

For IDEs or local clients (desktop setup)


Data and security

The server enforces several security controls:

For a deeper overview of the security model and admin controls, see:


How it works

Architecture and communication

  1. A supported client connects to the server endpoint. The recommended endpoint for most clients is:

    https://mcp.atlassian.com/v1/mcp/authv2
    

    The https://mcp.atlassian.com/v1/mcp endpoint is also supported (for example, for API token configurations).

  2. Depending on your setup, a secure browser-based OAuth 2.1 flow is triggered, or API token authentication is used.
  3. Once authorized, the client streams contextual data and receives real-time responses from your connected Atlassian products.

[!NOTE] The legacy Server-Sent Events endpoint (https://mcp.atlassian.com/v1/sse) is still supported, but we recommend updating any custom clients configured to use /sse so they now point to /mcp (or /mcp/authv2).

Permission management

Access is granted only to data that the user already has permission to view in Atlassian Cloud. All actions respect existing project or space-level roles. OAuth and API token authentication both honor configured scopes and Atlassian permissions.

API token authentication (headless)

API token authentication is available for headless, service-style, or non-interactive client setups (for example, backend systems or automations). It is also required for Jira Service Management and Bitbucket Cloud tools.


Example workflows

Once connected, you can run tasks like these from your client.

Jira workflows

Confluence workflows

Compass workflows

Combined tasks

[!NOTE] Actual capabilities vary depending on your permission level and client platform.


Tips and tricks

Set default CloudId, Jira project, and Confluence space

Update your AGENTS.md with the Markdown below to reduce discovery tool calls, save time and tokens, and set maximum search results.

## Atlassian Rovo MCP

When connected to atlassian-rovo-mcp:
- **MUST** use Jira project key = YOURPROJ
- **MUST** use Confluence spaceId = "123456"
- **MUST** use cloudId = "https://yoursite.atlassian.net" (do NOT call getAccessibleAtlassianResources)
- **MUST** use `maxResults: 10` or `limit: 10` for ALL Jira JQL and Confluence CQL search operations.

Use skills

If you’re using a desktop client like Claude, you can create or reuse skills for repeated tasks. See the default Rovo MCP skills.

For Cursor, skills are part of the marketplace plugin.


Admin notes: managing access

If you’re an admin preparing your organization to use the Atlassian Rovo MCP Server, review the points below. For more detailed admin guidance, see:

Installation and access

Manage, monitor, and revoke access

Troubleshooting common issues


Security

Model Context Protocol (MCP) lets AI agents connect to tools and Atlassian data using your account’s permissions, which creates powerful workflows but also structural risks. Any MCP client or server you enable (for example, IDE plugins, desktop apps, hosted MCP servers, or “one-click” integrations) can cause an AI agent to perform actions on your behalf.

Large language models (LLMs) are vulnerable to prompt injection and related attacks (such as indirect prompt injection and tool poisoning). These attacks can instruct the agent to exfiltrate data or make unintended changes without explicit requests.

To reduce risk, only use trusted MCP clients and servers, carefully review which tools and data each agent can access, and apply least privilege (scoped tokens, minimal project/workspace access). For any high-impact or destructive action, require human confirmation and monitor audit logs for unusual activity. We strongly recommend reviewing Atlassian’s guidance on MCP risks at MCP Clients: Understanding the potential security risks.


Support and feedback

We use your feedback to improve the Atlassian Rovo MCP Server. If you hit a bug or limitation, or have a suggestion:


Disclaimer

MCP clients can perform actions in Jira, Confluence, Jira Service Management, Bitbucket, and Compass with your existing permissions. Use least privilege, review high-impact changes before confirming, and monitor audit logs for unusual activity.

Learn more: MCP Clients: Understanding the potential security risks.