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Works with

Claude CodeClaude DesktopCursorVS CodeClineCodex CLIOpenClaw+ any MCP client

Install to Claude Code

This server doesn't publish a one-line install command. Follow the setup in the source repository.

Summary

A powerful Model Context Protocol (MCP) server for seamless Jira integration with AI assistants like Claude. Features advanced search capabilities, intelligent pod aliases, comprehensive ticket analysis, and full API support.

README.md

Jira Analysis MCP

A powerful Model Context Protocol (MCP) server for seamless Jira integration with AI assistants like Claude. Features advanced search capabilities, intelligent pod aliases, comprehensive ticket analysis, and full API support.

✨ Features

Core Capabilities

  • 🔍 Advanced Search: Full pagination support - automatically fetches ALL results (no 100 issue limit)
  • 🎯 Smart Pod Aliases: Use shorthand names (workflow, growth, platform) instead of full pod names
  • 📊 Intelligent Ticket Analysis: Comprehensive analysis with automatic filtering of AI-generated comments
  • 📝 Issue Management: Create, read, update, and search Jira issues with flexible field filtering
  • 💬 Comments: Add, delete, and manage comments with automatic markdown-to-ADF conversion
  • 📎 Attachments: Upload, download, and manage issue attachments
  • 🎨 Rich Formatting: Automatic conversion of markdown to Atlassian Document Format (ADF)
  • Code blocks with syntax highlighting
  • Inline code, lists (bullet/numbered)
  • Headings, bold, italic, strikethrough
  • Links and line breaks

What Makes This Different

  • No Pagination Headaches: Automatically handles Jira's pagination - you get all results, not just the first page
  • Pod-Aware: Built-in understanding of common pod structures with smart aliasing
  • AI-Ready: Filters AI-generated comments from analysis for cleaner insights
  • Production-Ready: Handles Jira's latest API endpoints (no deprecated APIs)

🚀 Quick Start

Installation

git clone https://github.com/sheikhaamir/jira-analysis-mcp.git
cd jira-analysis-mcp
npm install
npm run build

Configuration

Create a .env file in the root directory:

JIRA_URL=https://your-domain.atlassian.net
JIRA_EMAIL=your-email@example.com
JIRA_API_TOKEN=your-api-token

Getting a Jira API Token:

  1. Visit https://id.atlassian.com/manage-profile/security/api-tokens
  2. Click "Create API token"
  3. Copy the token and add it to your .env file

Usage with Claude Desktop

macOS

Edit ~/Library/Application Support/Claude/claude_desktop_config.json:

{
  "mcpServers": {
    "jira": {
      "command": "node",
      "args": ["/absolute/path/to/jira-analysis-mcp/build/index.js"],
      "env": {
        "JIRA_URL": "https://your-domain.atlassian.net",
        "JIRA_EMAIL": "your-email@example.com",
        "JIRA_API_TOKEN": "your-api-token"
      }
    }
  }
}

Windows

Edit %APPDATA%\Claude\claude_desktop_config.json with the same structure, using Windows paths.

Usage with Cursor

Create or edit ~/.cursor/mcp_settings.json:

{
  "mcpServers": {
    "jira": {
      "command": "node",
      "args": ["/absolute/path/to/jira-analysis-mcp/build/index.js"],
      "env": {
        "JIRA_URL": "https://your-domain.atlassian.net",
        "JIRA_EMAIL": "your-email@example.com",
        "JIRA_API_TOKEN": "your-api-token"
      }
    }
  }
}

📖 Usage Examples

Smart Pod Aliases

Use simple shorthand names instead of full pod names:

| Alias | Full Pod Name | |-------|---------------| | workflow, pod1, pod 1 | Pod 1 Workflow | | growth, pod2, pod 2 | Pod 2 Growth | | platform | Platform Pod | | siteops, site ops | Pod SiteOps | | ai | AI Pod | | ds, design | DS Pod | | scale | Scale Pod |

Example: ``jql Pod = "workflow" AND created >= 2025-12-01 ` Automatically expands to: `jql Pod = "Pod 1 Workflow" AND created >= 2025-12-01 ``

Search Issues

// Get all issues (no pagination limit)
search_issues({
  jql: 'Pod = "workflow" AND created >= 2025-12-01 AND project = SS2T',
  maxResults: 500
})

// Search by status
search_issues({
  jql: 'project = MYPROJ AND status = "In Progress"',
  maxResults: 100
})

Analyze Tickets

// Get comprehensive ticket analysis
analyze_ticket({ issueKey: 'SS2T-13091' })

// Returns structured data:
// - What customer saw (description, attachments)
// - How it happened (probable cause, root cause, regression status)
// - How it was fixed (resolution type, current status)
// - Timeline and customer context

Create Issues

create_issue({
  project: 'MYPROJ',
  summary: 'Bug: Login page not loading',
  description: 'Users are unable to access the login page',
  issueType: 'Bug'
})

Add Comments

add_comment({
  issueKey: 'MYPROJ-123',
  comment: 'This has been fixed in production'
})

🛠️ Available Tools

Issue Management

  • get_issue - Get details of a specific issue
  • search_issues - Search issues with JQL (supports pod aliases, full pagination)
  • create_issue - Create a new issue
  • update_issue - Update an existing issue

Analysis

  • analyze_ticket - Get comprehensive ticket analysis (filters AI comments)
  • get_comprehensive_issue - Get ALL details including custom fields, comments, attachments

Comments

  • add_comment - Add a comment (with optional attachments)
  • delete_comment - Delete a comment

Attachments

  • get_attachments - List all attachments for an issue
  • download_attachment - Download an attachment to disk
  • add_attachment - Upload an attachment to an issue

🎯 Advanced Features

Full Pagination Support

Unlike basic Jira clients, this server automatically handles pagination:

  • Fetches ALL results across multiple pages
  • No manual token management
  • No 100-result limits

Intelligent Ticket Analysis

The analyze_ticket tool provides:

  • Automatic filtering of AI-generated comments
  • Structured data extraction (probable cause, root cause, regression status)
  • Timeline analysis
  • Customer context (organization, tier, platform)

Pod-Aware Architecture

Built-in understanding of pod structures:

  • Automatic alias expansion
  • Support for multiple pod naming conventions
  • Easy to extend with new pods

🔧 Development

Build

npm run build

Watch Mode

npm run watch

Project Structure

jira-analysis-mcp/
├── src/
│   ├── index.ts          # MCP server implementation
│   └── jira-client.ts    # Jira API client with pagination
├── build/                # Compiled JavaScript
├── .env                  # Your Jira credentials
└── package.json

📝 Requirements

  • Node.js 18 or higher
  • Jira Cloud account with API access
  • Valid Jira API token

🤝 Contributing

Contributions are welcome! Please feel free to submit issues or pull requests.

📄 License

MIT License - see LICENSE file for details

🙏 Acknowledgments

Built with the Model Context Protocol SDK by Anthropic.

📞 Support

For issues, questions, or suggestions, please open an issue on GitHub.

---

Note: After installation or updates, restart your AI assistant (Claude/Cursor) to load the latest server build.

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