MCP Atlassian Server
Enables AI assistants to interact with Atlassian Jira and Confluence, supporting OAuth 2.0 authentication and multiple transports.
README
MCP Atlassian Server
A simple, command-line Model Context Protocol (MCP) server for Atlassian Jira and Confluence. Connect any MCP-compatible AI assistant to your Atlassian instance with OAuth 2.0 authentication.
🚀 Quick Start
# 1. Clone and install
git clone https://github.com/your-username/mcp-nodejs-atlassian.git
cd mcp-nodejs-atlassian
npm install && npm run build
# 2. Set up authentication (interactive wizard)
npm run oauth-setup
# 3. Ready to use!
npx mcp-atlassian-nodejs --help
Optional: Install globally for cleaner commands:
npm install -g ./
mcp-atlassian --help
Now you can use the server in any MCP-compatible client without hardcoded paths!
Two ways to use:
- With npx:
npx mcp-atlassian-nodejs(no global install needed) - Globally:
mcp-atlassian(afternpm install -g ./)
🔧 Authentication
OAuth 2.0 (Recommended)
Run the interactive OAuth setup wizard:
npm run oauth-setup
What it does:
- Walks you through creating an Atlassian OAuth app
- Opens your browser for secure authorization
- Auto-detects your Cloud ID
- Generates all configuration automatically
Requirements:
- Atlassian Cloud account
- Port 8080 available for callback
Manual Setup (Alternative)
For API tokens, server deployments, or advanced configuration:
cp env.example .env
# Edit .env with your credentials
Atlassian Cloud:
CONFLUENCE_URL=https://your-company.atlassian.net/wiki
CONFLUENCE_USERNAME=your.email@company.com
CONFLUENCE_API_TOKEN=your_api_token
JIRA_URL=https://your-company.atlassian.net
JIRA_USERNAME=your.email@company.com
JIRA_API_TOKEN=your_api_token
Server/Data Center:
CONFLUENCE_URL=https://confluence.your-company.com
CONFLUENCE_PERSONAL_TOKEN=your_personal_token
JIRA_URL=https://jira.your-company.com
JIRA_PERSONAL_TOKEN=your_personal_token
🤖 AI Assistant Integration
Claude Desktop
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"atlassian": {
"command": "npx",
"args": ["mcp-atlassian-nodejs"]
}
}
}
Alternative: Global install for cleaner setup:
npm install -g ./
Then use:
{
"mcpServers": {
"atlassian": {
"command": "mcp-atlassian"
}
}
}
Cursor
- Settings → MCP → Add global MCP server
- Command:
npx - Args:
["mcp-atlassian-nodejs"]
Alternative: After global install (npm install -g ./):
- Command:
mcp-atlassian - Args:
[]
Any MCP Client
The server supports standard MCP transports:
# stdio (default - for most AI assistants)
npm start
# HTTP Server-Sent Events
npm start -- --transport sse --port 8000
# HTTP Streamable
npm start -- --transport streamable-http --port 8000
🔧 Configuration
Command-Line Options
node dist/index.js --help # Show all options
node dist/index.js --oauth-setup # OAuth wizard
node dist/index.js --read-only # Safe mode
node dist/index.js --verbose # Debug logging
node dist/index.js --enabled-tools "search" # Limit tools
node dist/index.js --transport sse --port 8000 # HTTP mode
Environment Variables
# Security
READ_ONLY_MODE=true # Disable write operations
MCP_VERBOSE=true # Enable debug logging
# Filtering
CONFLUENCE_SPACES_FILTER=DEV,TEAM,DOC # Limit Confluence spaces
JIRA_PROJECTS_FILTER=PROJ,DEV,SUPPORT # Limit Jira projects
# Tools
ENABLED_TOOLS=confluence_search,jira_get_issue # Specific tools only
📚 Available Tools
Confluence
- confluence_search - Search content across spaces
- confluence_get_page - Get specific pages by ID/title
- confluence_create_page - Create new pages
- confluence_update_page - Update existing pages
Jira
- jira_search_issues - Search issues with JQL
- jira_get_issue - Get detailed issue info
- jira_create_issue - Create new issues
- jira_update_issue - Update existing issues
💬 Usage Examples
Ask your AI assistant:
- "Search Confluence for API documentation"
- "Get details of Jira issue PROJ-123"
- "Create a bug report in the MOBILE project"
- "Find all my open tickets from last sprint"
- "Update PROJ-456 status to In Progress"
🖥️ Server Deployment
For production server deployment:
# Install on server
git clone https://github.com/your-username/mcp-nodejs-atlassian.git
cd mcp-nodejs-atlassian
npm ci --only=production
npm run build
# Set up environment
cp env.example .env
# Edit .env with production credentials
# Run with process manager (recommended)
npm install -g pm2
pm2 start dist/index.js --name "mcp-atlassian" -- --transport sse --port 8000 --host 0.0.0.0
# Or run directly
node dist/index.js --transport sse --port 8000 --host 0.0.0.0
🏢 Enterprise Features
- ✅ OAuth 2.0 - Secure delegated access
- ✅ API Tokens - Simple authentication
- ✅ Personal Access Tokens - Server/Data Center support
- ✅ Read-only mode - Safe operations
- ✅ Access filtering - Limit spaces/projects
- ✅ Multiple transports - stdio, SSE, HTTP
- ✅ Process management - PM2/systemd compatible
🛠️ Development
npm run dev # Development mode with hot reload
npm run build # Build for production
npm test # Run tests
npm run lint # Code linting
🤝 Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
📄 License
MIT License - see LICENSE file for details.
🔗 Links
Simple, powerful Atlassian integration for AI assistants
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.