Skip to main content

Make Waves ’26 Step into AI’s glass box. Prague, 19–20 Oct.

Register now (opens in a new tab)
Perplexity AI
Jira Cloud Platform

Connect Perplexity AI and Jira Cloud Platform integrations

Explore ready-made Perplexity AI and Jira Cloud Platform templates and start automating in minutes.

Get started free

Create a custom workflow

Transform AI-powered insights into instant action by connecting Perplexity AI and Jira Cloud Platform through Make's visual automation platform. Automatically convert research queries and AI-driven discoveries into organized tasks, updated issues, and populated project fields—eliminating manual data entry and accelerating your journey from insight to execution.

Create a custom workflow

Every automation starts with a trigger and an action. Select one from each app to generate a workflow tailored to your needs.

Jira Cloud Platform
Trigger: Watch Issues
Perplexity AI
Action: Select an action
1. Select a trigger

  • Triggers when an issue is created or updated.

  • Triggers when a ticket event occurs.

2. Select an action

  • Creates a chat completions with the chosen model.

  • Generate a response for the provided input with optional web search and reasoning.

  • Generate contextualized embeddings for document chunks. Chunks from the same document share context awareness, improving retrieval quality for document-based applications.

  • Generate vector representations (embeddings) for the text you provide.

  • Performs an arbitrary authorized API call.

Select a trigger and an action

Create workflow (opens in a new tab)

Triggers and actions

Connect Jira Cloud Platform and Perplexity AI through Make's intuitive integration platform to build powerful workflow automation. With Jira Cloud Platform as a trigger, you can automatically initiate workflows when AI-powered insights or research queries are generated, which then activate Perplexity AI actions to instantly create tasks, update issues, or populate custom fields without manual intervention. Make's visual workflow builder enables you to design automation scenarios where Jira Cloud Platform triggers execute corresponding actions in Perplexity AI, optimizing the flow from AI-driven research to project execution.

Add a Watcher
Adds a user as a watcher to an issue.
Action
Add an Attachment
Adds a new attachment to a ticket.
Action
Add an Issue Comment
Adds a comment to an issue.
Action
Assign/Unassign an Issue
Assigns an issue to a user.
Action
Create a chat completion
Creates a chat completions with the chosen model.
Action
Create a Component
Creates a component.
Action
Create a Project Version
Creates a project version.
Action
Create an agent response
Generate a response for the provided input with optional web search and reasoning.
Action
Create an Issue
Creates a new issue.
Action
Load more

How to set up Perplexity AI and Jira Cloud Platform in 5 easy steps

Date

·

Duration

Step 1

Get your API credentials from both applications

Before you can connect Jira and Perplexity AI to Make, you need to obtain special access keys from each platform. For Jira, log into your Atlassian account and create an API token—this is like a password that allows Make to access your Jira data. For Perplexity AI, go to your account settings and generate an API key from the API section. Make sure to copy and save both of these keys immediately in a safe place, as you won't be able to see them again once you close the window.

Date

·

Duration

Step 2

Add your first application module to Make

Log into your Make account and open the scenario where you want to create your automation. Click to add a new module and search for either Jira or Perplexity AI—whichever one you want to start with. Select the module from the list to add it to your scenario. This module acts as a bridge that will allow Make to communicate with your chosen application and perform actions on your behalf.

Date

·

Duration

Step 3

Create the connection in Make

Once you've added your module, you'll see a 'Connection' field. Click the 'Add' or 'Create a connection' button next to this field to start linking your application to Make. You can give your connection a custom name to help you remember what it's for, especially if you plan to connect multiple accounts later. This step prepares Make to receive the credentials you gathered earlier.

Date

·

Duration

Step 4

Enter your connection credentials

Now it's time to use those API keys you saved earlier. For Jira, you'll need to enter your Jira website address, your username, and paste in your API token. For Perplexity AI, you'll simply paste your API key into the designated field. Double-check that all the information is correct, then click 'Save' to establish the connection. Your application and Make are now linked and ready to work together.

Date

·

Duration

Step 5

Repeat the process for your second application

Follow the same steps to connect your second application to Make. Add the module for your other app, click to create a new connection, and enter the appropriate credentials. Once both connections are saved, test them by running your scenario to make sure everything is working properly. You can now build automated workflows that allow Jira and Perplexity AI to communicate through Make, saving you time and eliminating repetitive manual tasks.

AI-powered project management: Perplexity AI + Jira Cloud Platform

Integrate Perplexity AI and Jira Cloud Platform to automatically enrich issues with intelligent research, improve documentation workflows, and accelerate decision-making with AI-powered insights for your teams.

Date

·

Duration

Automated knowledge-enriched issue documentation

Automatically enrich Jira issues with relevant research and information from Perplexity AI to provide comprehensive context for development teams.

Date

·

Duration

Intelligent issue resolution assistance

Use Perplexity AI's knowledge discovery to automatically suggest solutions and best practices when new issues are created in Jira.

Date

·

Duration

Real-time research integration for project planning

Instantly populate Jira project documentation with industry insights and technical information gathered through Perplexity AI queries.

Date

·

Duration

Efficient technical documentation workflow

Automatically generate and attach detailed research summaries from Perplexity AI to Jira tickets, eliminating manual research documentation tasks.

Support

FAQs

Everything you need to know about Make. Can't find the answer you're looking for? Please chat to our team.

By connecting Perplexity AI with Jira Cloud Platform through Make, you can automatically enrich your Jira tickets with AI-powered research and insights. When a new issue is created, Make can trigger Perplexity AI to gather relevant information, best practices, or solutions, then automatically update the Jira ticket with this knowledge. This saves your team hours of manual research, ensures tickets contain comprehensive context, and helps developers and project managers make more informed decisions without leaving their workflow.

Make enables numerous powerful automation scenarios between these applications. You can automatically generate detailed technical documentation by using Perplexity AI to research topics mentioned in Jira epics, create smart ticket summaries by having Perplexity AI analyze and consolidate information from related issues, or set up workflows that query Perplexity AI for troubleshooting steps when bugs are reported. You can also automatically update Jira comments with relevant industry insights or competitive analysis gathered by Perplexity AI, keeping your team informed with zero manual effort.

No coding skills are required. Make provides a visual, drag-and-drop interface that allows you to create sophisticated integrations between Perplexity AI and Jira Cloud Platform without writing a single line of code. You simply select triggers (like 'New Jira Issue Created'), add actions (like 'Query Perplexity AI' and 'Update Jira Issue'), and configure the data flow between them. Make also offers pre-built templates and scenarios to help you get started quickly, making it accessible for users of all technical levels.

Using Make eliminates the need for expensive custom development that could take weeks and cost thousands of dollars. Instead of manually researching information and copying it into Jira tickets—which can take 15-30 minutes per issue—Make automates this instantly. You can set up your first working integration in under 30 minutes, with no maintenance overhead or technical debt. Make handles all API connections, authentication, and error handling automatically, while providing scalability to process hundreds or thousands of tickets. This means your team can focus on high-value work rather than repetitive research and data entry tasks.