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Classify and Convert GitHub Issues to Jira Tickets with OpenAI

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Created by: Issam AGGOUR || devgor

Issam AGGOUR

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Last update a month ago

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AI-Powered GitHub Issue to Jira Ticket Automation

Bridge the gap between your development and project management workflows with this intelligent n8n template. This isn't just a simple sync; it uses an AI agent to analyze, classify, and intelligently route new GitHub issues into the correct Jira ticket type, saving you countless hours of manual triage.

🚀 Key Features

  • AI-Powered Issue Classification: Leverages an AI Agent (powered by OpenAI) to analyze the content of a new GitHub issue and determine its type (e.g., bug, task, improvement).
  • Intelligent Routing: Automatically creates the corresponding ticket type in Jira. Bugs in GitHub become Bugs in Jira; other issues become Tasks.
  • Seamless Integration: Triggers instantly when a new issue is created in your specified GitHub repository.
  • Rich Data Transfer: Migrates the issue title and body directly into the Jira ticket description for full context.
  • Structured AI Output: Uses a structured output parser to ensure the AI's classification is reliable and consistent.
  • Beginner-Friendly & Educational: The workflow is annotated with sticky notes, explaining each step of the process, making it a great tool for learning how to use AI in n8n.

⚙️ How It Works

The workflow is designed for clarity and power, moving from issue creation to ticket generation in four automated steps.

1. Trigger: New GitHub Issue

  • The GitHub Trigger node constantly listens for new issues being created in your designated repository. Once an issue is opened, the workflow springs into action.

2. Analyze: AI Classification

  • The issue's title and body are passed to an AI Agent.
  • Using a prompt designed for classification and an OpenAI Chat Model, the agent determines if the issue is a bug, task, or another category.
  • A Structured Output Parser ensures the AI returns clean, usable JSON data (e.g., {"type": "bug"}).

3. Route: Conditional Logic

  • An IF node checks the structured output from the AI agent.
  • If the type is "bug," the workflow proceeds down the "bug" path. Otherwise, it follows the default path for "tasks."

4. Create: Jira Ticket Generation

  • Depending on the route, the corresponding Jira node is activated.
  • A new ticket is created in your specified Jira project with the appropriate issue type (Bug or Task) and includes the full context from the original GitHub issue.

🛠️ Setup Steps & Credentials

To get this AI-powered workflow running, you'll need to configure a few credentials:

  1. GitHub:

    • Create a GitHub credential in n8n.
    • In the GitHub Trigger node, select your credential and specify the owner (your GitHub username or organization) and the repository you want to monitor.

  2. OpenAI:

    • Obtain an API Key from platform.openai.com.
    • Create an OpenAI credential in n8n.
    • In the OpenAI Chat Model node, select your newly created credential. You can also experiment with different models like gpt-4.1-mini for speed or gpt-4o for higher accuracy.

  3. Jira:

    • Create a Jira API token from your Atlassian account settings.
    • Create a Jira credential in n8n using your email, API token, and Atlassian domain.
    • In both the Create Jira Ticket (Bug) and Create Jira Ticket (Task) nodes, select your Jira credential and set your target project key.

💡 Customization & Learning

This workflow is a powerful starting point. Here are a few ways you can customize it and learn more:

  • Expand Classification: Modify the AI Agent's prompt and the IF node to handle more issue types, like improvement, documentation, or feature-request.
  • Add More Data: Enhance the Jira nodes to include labels, assignees, or priority levels based on the AI's output or the original GitHub issue's properties.
  • Swap AI Models: Try different language models by replacing the OpenAI node with one for Google Gemini, Anthropic Claude, or others supported by n8n.
  • Error Handling: Add a path for what to do if the AI fails to classify an issue, such as sending a notification to a Slack channel for manual review.

📋 Requirements

  • An active n8n instance.
  • GitHub API credentials.
  • OpenAI API credentials.
  • Jira API credentials.