Integrates with Jira to automate project management tasks including issue creation and updates, sprint tracking, project and board management, and issue search and retrieval
MCP Jira Integration
A simple Model Context Protocol (MCP) server for Jira that allows LLMs to act as project managers and personal assistants for teams using Jira.
Features
Core MCP Tools
- create_issue - Create new Jira issues with proper formatting
- search_issues - Search issues using JQL with smart formatting
- get_sprint_status - Get comprehensive sprint progress reports
- get_team_workload - Analyze team member workloads and capacity
- generate_standup_report - Generate daily standup reports automatically
Project Management Capabilities
- Sprint progress tracking with visual indicators
- Team workload analysis and capacity planning
- Automated daily standup report generation
- Issue creation with proper prioritization
- Smart search and filtering of issues
Requirements
- Python 3.8 or higher
- Jira account with API token
- MCP-compatible client (like Claude Desktop)
Quick Setup
- Clone and install:
- Configure Jira credentials in
.env
:
- Run the MCP server:
Usage Examples
Creating Issues
"Create a high priority bug for the login system not working properly"
- Auto-assigns proper issue type, priority, and formatting
Sprint Management
"What's our current sprint status?"
- Gets comprehensive progress report with metrics and visual indicators
Team Management
"Show me the team workload for john.doe, jane.smith, mike.wilson"
- Analyzes capacity and provides workload distribution
Daily Standups
"Generate today's standup report"
- Creates formatted report with completed, in-progress, and blocked items
MCP Integration
With Claude Desktop
Add to your claude_desktop_config.json
:
With Other MCP Clients
The server follows the standard MCP protocol and works with any MCP-compatible client.
Configuration
Required Environment Variables
JIRA_URL
- Your Jira instance URLJIRA_USERNAME
- Your Jira username/emailJIRA_API_TOKEN
- Your Jira API tokenPROJECT_KEY
- Default project key for operations
Optional Settings
DEFAULT_BOARD_ID
- Default board for sprint operationsDEBUG_MODE
- Enable debug logging (default: false)LOG_LEVEL
- Logging level (default: INFO)
Getting Jira API Token
- Go to Atlassian Account Settings
- Click "Create API token"
- Give it a name and copy the token
- Use your email as username and the token as password
Architecture
This implementation prioritizes simplicity:
- Single MCP server file - All tools in one place
- Standard MCP protocol - Uses official MCP SDK
- Rich formatting - Provides beautiful, readable reports
- Error handling - Graceful handling of Jira API issues
- Async support - Fast and responsive operations
Troubleshooting
Common Issues
- "No active sprint found"
- Make sure your board has an active sprint
- Check that
DEFAULT_BOARD_ID
is set correctly
- Authentication errors
- Verify your API token is correct
- Check that your username is your email address
- Permission errors
- Ensure your Jira user has appropriate project permissions
- Check that the project key exists and you have access
Debug Mode
Set DEBUG_MODE=true
in your .env
file for detailed logging.
Contributing
- Fork the repository
- Make your changes
- Test with your Jira instance
- Submit a pull request
License
MIT License - see LICENSE file
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Enables AI applications to manage JIRA issues, workflows, and tasks through a standardized MCP interface, facilitating real-time updates and seamless interaction with JIRA's API.
- Features
- Requirements
- Quick Setup
- Usage Examples
- MCP Integration
- Configuration
- Getting Jira API Token
- Architecture
- Troubleshooting
- Contributing
- License
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