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Jira Analysis

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A powerful Model Context Protocol (MCP) server for seamless Jira integration with AI assistants like Claude. Features advanced search capabilities, intelligent

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About

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

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
[email protected]
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": "[email protected]",
        "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": "[email protected]",
        "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:

Pod = "workflow" AND created >= 2025-12-01

Automatically expands to:

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.

from github.com/saam1r/jira-analysis-mcp

Install Jira Analysis in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install jira-analysis-mcp

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add jira-analysis-mcp -- npx -y github:saam1r/jira-analysis-mcp

FAQ

Is Jira Analysis MCP free?

Yes, Jira Analysis MCP is free — one-click install via Unyly at no cost.

Does Jira Analysis need an API key?

No, Jira Analysis runs without API keys or environment variables.

Is Jira Analysis hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install Jira Analysis in Claude Desktop, Claude Code or Cursor?

Open Jira Analysis on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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