MCP Jira Integration

A Jira integration that allows LLMs to act as project managers and personal assistants for teams.

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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

  1. Clone and install:
cd mcp-jira-implementation/mcp-jira
pip install -e .
  1. Configure Jira credentials in .env:
JIRA_URL=https://your-domain.atlassian.net
JIRA_USERNAME=your.email@domain.com
JIRA_API_TOKEN=your_api_token
PROJECT_KEY=PROJ
DEFAULT_BOARD_ID=123
  1. Run the MCP server:
python -m mcp_jira.simple_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:

{
  "mcpServers": {
    "mcp-jira": {
      "command": "python",
      "args": ["-m", "mcp_jira.simple_mcp_server"],
      "cwd": "/path/to/mcp-jira"
    }
  }
}

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 URL
  • JIRA_USERNAME - Your Jira username/email
  • JIRA_API_TOKEN - Your Jira API token
  • PROJECT_KEY - Default project key for operations

Optional Settings

  • DEFAULT_BOARD_ID - Default board for sprint operations
  • DEBUG_MODE - Enable debug logging (default: false)
  • LOG_LEVEL - Logging level (default: INFO)

Getting Jira API Token

  1. Go to Atlassian Account Settings
  2. Click "Create API token"
  3. Give it a name and copy the token
  4. 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

  1. "No active sprint found"

    • Make sure your board has an active sprint
    • Check that DEFAULT_BOARD_ID is set correctly

  2. Authentication errors

    • Verify your API token is correct
    • Check that your username is your email address

  3. 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

  1. Fork the repository
  2. Make your changes
  3. Test with your Jira instance
  4. Submit a pull request

License

MIT License - see LICENSE file

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