By atlassian
Search Jira and Confluence, create and triage issues, manage sprints, generate backlog from spec pages, produce status reports, and build sprint dashboards — all within your development workflow.
Analyze meeting notes to find action items and create Jira tasks for assigned work. When an agent needs to: (1) Create Jira tasks or tickets from meeting notes, (2) Extract or find action items from notes or Confluence pages, (3) Parse meeting notes for assigned tasks, or (4) Analyze notes and generate tasks for team members. Identifies assignees, looks up account IDs, and creates tasks with proper context.
Generate project status reports from Jira issues and publish to Confluence. When an agent needs to: (1) Create a status report for a project, (2) Summarize project progress or updates, (3) Generate weekly/daily reports from Jira, (4) Publish status summaries to Confluence, or (5) Analyze project blockers and completion. Queries Jira issues, categorizes by status/priority, and creates formatted reports for delivery managers and executives.
Create a visual Jira sprint dashboard from Jira project, space, sprint, board, filter, JQL, work item keys, or Jira URL data. Use when the user asks for a Jira sprint dashboard, standup dashboard, sprint review, delivery review, engineering manager dashboard, WIP review, planning view, closeout view, or a visual snapshot of Jira work that is more useful than a flat report. Use the richest dashboard format supported by the current agent, such as Cursor Canvas, an interactive artifact, HTML, or Markdown.
Search across company knowledge bases (Confluence, Jira, internal docs) to find and explain internal concepts, processes, and technical details. When an agent needs to: (1) Find or search for information about systems, terminology, processes, deployment, authentication, infrastructure, architecture, or technical concepts, (2) Search internal documentation, knowledge base, company docs, or our docs, (3) Explain what something is, how it works, or look up information, or (4) Synthesize information from multiple sources. Searches in parallel and provides cited answers.
Automatically convert Confluence specification documents into structured Jira backlogs with Epics and implementation tickets. When an agent needs to: (1) Create Jira tickets from a Confluence page, (2) Generate a backlog from a specification, (3) Break down a spec into implementation tasks, or (4) Convert requirements into Jira issues. Handles reading Confluence pages, analyzing specifications, creating Epics with proper structure, and generating detailed implementation tickets linked to the Epic.
External network access
Connects to servers outside your machine
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The 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, Compass, and Confluence data in real-time. This functionality is powered by secure authentication using OAuth 2.1 or API tokens, which ensures all actions respect the user's existing access controls.
With the Atlassian Rovo MCP Server, you can:
It's designed developers, content creators, and project teams who use IDEs or AI platforms and want to work with Atlassian data without constantly context switching.
The Atlassian Rovo MCP Server supports several clients, including:
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.
For detailed setup instructions, refer to your client's own MCP documentation or built-in assistant.
Ensure your environment meets the necessary requirements to successfully set up the Atlassian Rovo MCP Server. This section outlines the technical prerequisites and key access considerations.
Before connecting to the Atlassian Rovo MCP Server, review the setup requirements for your environment:
mcp-remote)Security is a core focus of the Atlassian Rovo MCP Server:
For a deeper overview of the security model and admin controls, see:
https://mcp.atlassian.com/v1/mcp
[!NOTE] While
/sseas a server endpoint are supported, we recommend updating any custom clients configured to use/sseso they now point to/mcp.
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 is available for headless or long-running client setups.
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