Jira Issues and Confluence Pages with Atlassian MCP and Continue

What You'll Build

An Atlassian workflow assistant that uses Continue with the Atlassian Rovo MCP to:

Search and summarize Jira issues across projects
Find and digest Confluence documentation
Create and update Jira issues with natural language
Query Compass components and service dependencies
Automate Atlassian workflows with headless CLI runs

Prerequisites

Before starting, ensure you have:

Node.js 18+ installed locally
An Atlassian Cloud site with Jira, Confluence, and/or Compass
Access to the Atlassian products you want to integrate with

The Atlassian Rovo MCP Server is currently in Beta. Core functionality is available, but some features are still under development.

For all options, first:

Install Continue CLI

macOS / Linux
Windows
npm (cross-platform)

curl -fsSL https://raw.githubusercontent.com/continuedev/continue/main/extensions/cli/scripts/install.sh | bash

irm https://raw.githubusercontent.com/continuedev/continue/main/extensions/cli/scripts/install.ps1 | iex

If you already have Node.js 20+:

npm i -g @continuedev/cli

Understand OAuth Flow

The Atlassian MCP uses OAuth 2.1 for authentication. The first time you connect, you’ll complete a browser-based authorization flow that respects your existing Atlassian permissions.

To use agents in headless mode, you need a Continue API key. All data access respects your existing Jira, Confluence, and Compass user permissions.

Choose Your Atlassian Agent

🚀 Two Specialized Agents

We’ve created two ready-to-use agents to help you get started fast - they come pre-configured with optimized prompts, rules, and the Atlassian MCP. You don’t have to use these agents, but they’re designed to give you the best experience right away. Choose the agent that matches your needs, or create your own custom agent.

Agent Quick Reference

Agent	Best For	Use Cases	Link
Jira Agent	Issue Management	Search issues, create stories, sprint planning, status updates, bulk operations	View Agent
Confluence Agent	Documentation	Search pages, summarize docs, create/update pages, manage spaces	View Agent

Cross-product workflows: Both agents can work with Jira, Confluence, and Compass. Choose based on your primary focus area, or create your own agent using the Atlassian MCP. The Atlassian MCP can work with Jira, Compass, or Confluence.

📋 Jira Agent (Recommended for Issue Management)
📄 Confluence Agent (Recommended for Documentation)
🛠️ Manual Setup

Use the Jira Agent

Use the Atlassian Continuous AI - Jira Agent. This agent is optimized for:

Searching and filtering Jira issues
Creating and updating issues
Sprint planning and workload analysis
Issue transitions and status updates

No installation needed - you can start using it immediately from the command line!

Complete OAuth Authorization

On first use, you’ll be prompted to authorize the MCP server in your browser. This is a one-time setup that grants access based on your Atlassian permissions.

Run Your First Command

From anywhere in your terminal:

cn --agent continuedev/atlassian-continuous-ai-jira-agent "Show me my open issues assigned to me"

The agent will connect to your Atlassian site and return results.

Pro tip: Create a shell alias for the Jira agent:

alias jira-ai='cn --agent continuedev/atlassian-continuous-ai-jira-agent'

Then use: jira-ai "your prompt"

Use the Confluence Agent

Use the Atlassian Continuous AI - Confluence Agent. This agent is optimized for:

Searching and summarizing documentation
Creating and updating Confluence pages
Managing spaces and content
Documentation discovery

No installation needed - you can start using it immediately from the command line!

Complete OAuth Authorization

On first use, you’ll be prompted to authorize the MCP server in your browser. This is a one-time setup that grants access based on your Atlassian permissions.

Run Your First Command

From anywhere in your terminal:

cn --agent continuedev/atlassian-continuous-ai-confluence-agent "Summarize the Q2 planning page"

The agent will connect to your Atlassian site and return results.

Pro tip: Create a shell alias for the Confluence agent:

alias confluence-ai='cn --agent continuedev/atlassian-continuous-ai-confluence-agent'

Then use: confluence-ai "your prompt"

Add Atlassian MCP

Add the Atlassian MCP to your configuration. Minimal YAML example:

config.yaml

name: My Config
version: 0.0.1
schema: v1

mcpServers:
  - name: Atlassian Rovo MCP
    type: sse
    url: https://mcp.atlassian.com/v1/sse
    connectionTimeout: 30

Notes:

The Atlassian MCP uses Server-Sent Events (SSE) transport type
OAuth is handled automatically on first connection
No API keys or tokens needed in the config

Test the Connection

Launch Continue and ask:

List my Jira projects

You’ll be prompted to authorize in your browser if this is your first time.

Agent Requirements

To use Atlassian MCP with Continue CLI, you need either:

Continue CLI Pro Plan with the models add-on, OR
Your own API keys configured as environment variables

The agent will automatically detect and use your configuration along with the Atlassian MCP for Jira, Confluence, and Compass operations.

Jira Workflows

Using the Jira Agent: All examples below use the Jira Agent which is optimized for issue management.

Use natural language to explore, triage, and manage Jira issues. The agent calls Atlassian MCP tools under the hood.

Running in headless mode: Add -p flag before your prompt and --auto flag at the end:

cn --agent continuedev/atlassian-continuous-ai-jira-agent -p "your prompt" --auto

Important: Complete browser OAuth authentication first before using headless mode.

Search and Discovery

Find Open Bugs

Search for bugs across your projects.

cn --agent continuedev/atlassian-continuous-ai-jira-agent "Find all open bugs in Project Alpha"

My Assigned Issues

Get a list of issues assigned to you.

cn --agent continuedev/atlassian-continuous-ai-jira-agent "Show me all issues assigned to me that are in progress"

Sprint Planning

Analyze sprint workload and priorities.

cn --agent continuedev/atlassian-continuous-ai-jira-agent "List all issues in the current sprint. Group by assignee and priority. Summarize the workload distribution and flag any overloaded team members."

Create and Update

Create Story from Description

Turn natural language into a Jira story.

cn --agent continuedev/atlassian-continuous-ai-jira-agent "Create a story titled 'Redesign onboarding flow' in Project Alpha. Description: We need to simplify the user registration process by reducing steps from 5 to 3. Target completion: Q3."

Bulk Issue Creation

Create multiple issues from meeting notes or specs.

cn --agent continuedev/atlassian-continuous-ai-jira-agent "Create five Jira issues from these meeting notes: 1) Fix login timeout bug 2) Update API documentation 3) Implement dark mode toggle 4) Review security audit findings 5) Optimize database queries"

Update Issue Status

Transition issues with natural language.

cn --agent continuedev/atlassian-continuous-ai-jira-agent "Move PROJ-123 to In Progress and add a comment: Starting work on this today. ETA: end of week."

Confluence Workflows

Using the Confluence Agent: All examples below use the Confluence Agent which is optimized for documentation management.

Access, search, and manage your team’s documentation directly from Continue.

Running in headless mode: Add -p flag before your prompt and --auto flag at the end:

cn --agent continuedev/atlassian-continuous-ai-confluence-agent -p "your prompt" --auto

Important: Complete browser OAuth authentication first before using headless mode.

Search and Summarize

Summarize Documentation

Get a quick summary of a Confluence page.

cn --agent continuedev/atlassian-continuous-ai-confluence-agent "Summarize the Q2 planning page from the Engineering space"

Find Documentation

Search for specific information across Confluence.

cn --agent continuedev/atlassian-continuous-ai-confluence-agent "Find all pages about API authentication in our developer docs"

List Available Spaces

Discover what Confluence spaces you have access to.

cn --agent continuedev/atlassian-continuous-ai-confluence-agent "What Confluence spaces do I have access to?"

Create and Update

Create Documentation Page

Generate a new Confluence page with structured content.

cn --agent continuedev/atlassian-continuous-ai-confluence-agent "Create a page titled 'Team Goals Q3' in the Engineering space. Include sections for: Objectives, Key Results, and Timeline."

Update Existing Page

Modify content on an existing page.

cn --agent continuedev/atlassian-continuous-ai-confluence-agent "Update the 'Onboarding Guide' page to add a new section about our code review process"

Compass Workflows

Using Either Agent: Compass workflows work with both agents. Use the Jira agent for component-to-issue workflows, or the Confluence agent for component-to-docs workflows.

Query and manage your service architecture with Compass integration.

Running in headless mode: Add -p flag before your prompt and --auto flag at the end. Complete browser OAuth authentication first before using headless mode.

Service Discovery

Query Dependencies

Understand service relationships.

cn --agent continuedev/atlassian-continuous-ai-jira-agent "What services depend on the api-gateway component?"

Create Service Component

cn --agent continuedev/atlassian-continuous-ai-jira-agent "Create a service component for the current repository. Use the package.json to infer details."

Bulk Import Components

Import multiple components from structured data.

cn --agent continuedev/atlassian-continuous-ai-jira-agent "Import Compass components and custom fields from this CSV: [paste CSV data]"

Or reference a file:

cn --agent continuedev/atlassian-continuous-ai-jira-agent "Import Compass components from services.csv in the current directory"

Combined Workflows

Cross-Product Workflows: These workflows span multiple Atlassian products. Choose the agent based on your primary focus:

Use Jira Agent when the workflow is issue-centric
Use Confluence Agent when the workflow is documentation-centric

Integrate actions across Jira, Confluence, and Compass for powerful cross-product workflows.

Running in headless mode: Add -p flag before your prompt and --auto flag at the end. Complete browser OAuth authentication first before using headless mode.

Link Jira to Confluence

Connect related content across products.

# Using Jira Agent for issue-centric workflow
cn --agent continuedev/atlassian-continuous-ai-jira-agent "Link Jira tickets PROJ-123, PROJ-456, and PROJ-789 to the 'Sprint 23 Release Plan' Confluence page"

Service Documentation Lookup

Find documentation for a specific component.

# Using Confluence Agent for docs-centric workflow
cn --agent continuedev/atlassian-continuous-ai-confluence-agent "Fetch the Confluence documentation page linked to the user-authentication Compass component"

Release Notes Generation

Create release documentation from completed work.

# Using Jira Agent to pull issue data and create in Confluence
cn --agent continuedev/atlassian-continuous-ai-jira-agent "Generate release notes for all Jira issues completed in Sprint 23. Create a Confluence page in the Release Notes space with: New features (grouped by epic), Bug fixes, Known issues, Deployment instructions"

Troubleshooting

OAuth Authorization Issues

“Your site admin must authorize this app”: A site admin needs to complete the OAuth flow first before other users can connect
Can’t complete browser authorization: Ensure you’re logged into the correct Atlassian Cloud site and have necessary permissions
Connection timeout: Increase connectionTimeout in your MCP config or check your network connection

Permission Errors

“Access denied” or “Forbidden”: The MCP respects your existing Atlassian permissions. Verify you have access to the project/space/component you’re trying to access
Can’t create issues: Ensure you have “Create issues” permission in the target Jira project
Can’t edit Confluence pages: Verify you have edit permissions in the target Confluence space

Rate Limiting

Standard plan: Moderate usage thresholds
Premium/Enterprise plans: Higher quotas (1,000 requests/hour plus per-user limits)
If you hit rate limits, reduce query frequency or batch operations

Beta Limitations

Bulk operations may be constrained by rate limits
Custom Jira fields may not be recognized without explicit setup
Workspace/site switching not available within a single session
Check Atlassian Community for known issues

Admin Considerations

For Atlassian Site Admins

Installation: The Atlassian Rovo MCP is automatically installed on first OAuth authorization (JIT installation) - no Marketplace installation needed.Managing Access:

View connected apps in Admin Hub
Users can revoke access from their profile settings
Block user-installed apps via “user-installed apps” control in Admin Hub

Security: All traffic is encrypted via HTTPS (TLS 1.2+), and access respects existing user permissions.

What You’ve Built

After completing this guide, you have a complete AI-powered Atlassian workflow system that:

✅ Uses natural language — Simple prompts for complex Atlassian operations
✅ Spans multiple products — Seamlessly works across Jira, Confluence, and Compass
✅ Respects permissions — Secure OAuth-based access with existing role enforcement
✅ Runs headlessly — Integrate into CI/CD pipelines and automation scripts

Continuous AI

Your Atlassian workflows now operate at Level 2 Continuous AI - AI handles routine project management tasks with human oversight through review and approval.

Next Steps

Explore your projects - Try the Jira search and triage prompts
Organize documentation - Use Confluence workflows to summarize and create pages
Map your services - Query Compass for service dependencies
Customize prompts - Tailor workflows to your team’s specific needs
Monitor usage - Track how AI improves your Atlassian workflows

Additional Resources

Atlassian Rovo MCP

Official Atlassian MCP documentation

MCP in Continue

How MCP works with Continue agents

Continue Documentation

Continue documentation and guides

Atlassian Community

Get help and share feedback

Example Use Cases

Release Management

Automate release notes generation, link issues to documentation, and track deployment status across Jira and Confluence.

Sprint Planning

Analyze workload distribution, identify blockers, and generate sprint summaries automatically.

Service Ownership

Map service dependencies in Compass, link to technical documentation in Confluence, and track related issues in Jira.

Onboarding Automation

Create standardized Jira onboarding tickets, link to Confluence guides, and track new hire progress.

Getting Started

Features

Customize

Reference

Guides

Help

Jira Issues and Confluence Pages with Atlassian MCP and Continue

What You'll Build

Prerequisites

Choose Your Atlassian Agent

🚀 Two Specialized Agents

Agent Quick Reference

Jira Workflows

Search and Discovery

Create and Update

Confluence Workflows

Search and Summarize

Create and Update

Compass Workflows

Service Discovery

Combined Workflows

Troubleshooting

Admin Considerations

For Atlassian Site Admins

What You’ve Built

Continuous AI

Next Steps

Additional Resources

Atlassian Rovo MCP

MCP in Continue

Continue Documentation

Atlassian Community

Example Use Cases

Release Management

Sprint Planning

Service Ownership

Onboarding Automation

What You'll Build

​Prerequisites

​Choose Your Atlassian Agent

🚀 Two Specialized Agents

​Agent Quick Reference

​Jira Workflows

​Search and Discovery

​Create and Update

​Confluence Workflows

​Search and Summarize

​Create and Update

​Compass Workflows

​Service Discovery

​Combined Workflows

​Troubleshooting

​Admin Considerations

For Atlassian Site Admins

​What You’ve Built

Continuous AI

​Next Steps

​Additional Resources

Atlassian Rovo MCP

MCP in Continue

Continue Documentation

Atlassian Community

​Example Use Cases

Release Management

Sprint Planning

Service Ownership

Onboarding Automation

Prerequisites

Choose Your Atlassian Agent

Agent Quick Reference

Jira Workflows

Search and Discovery

Create and Update

Confluence Workflows

Search and Summarize

Create and Update

Compass Workflows

Service Discovery

Combined Workflows

Troubleshooting

Admin Considerations

What You’ve Built

Next Steps

Additional Resources

Example Use Cases