Connect Perplexity AI and Jira Cloud Platform integrations
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.
Creates a chat completions with the chosen model.
Performs an arbitrary authorized API call.
Adds a new attachment to a ticket.
Adds a comment to an issue.
Adds a user as a watcher to an issue.
Assigns an issue to a user.
Creates a component.
Creates a new issue.
Creates an issue link.
Creates a project version.
Creates options for a custom select field.
Deletes a Component.
Deletes an attachment.
Deletes an issue.
Deletes a commnet on a specific issue.
Deletes an issue link.
Deletes a project version.
Deletes a user as a watcher of an issue.
Deletes a custom field option.
Downloads an attachment.
Returns the details for an issue.
Returns an issue comment.
Performs an arbitrary authorized API call.
Changes the order of custom field options or cascading options in a context.
Updates a component.
Updates an existing issue.
Updates a comment to a specific issue.
Updates an issue status.
Updates a project version.
Updates the options of a custom field.
Returns a list of all the options of a select list issue field.
Retrieves changelog of an issue.
Lists current available transitions in an issue.
Returns all comments for an issue.
Returns the watchers for an issue.
Retrieves project components.
Retrieves all versions in a project.
Retrieves all users (active and inactive).
Searches for issues.
Searches for users by query.
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Build your Perplexity AI and Jira Cloud Platform integrations.
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.
Adds a user as a watcher to an issue.
Adds a new attachment to a ticket.
Adds a comment to an issue.
Assigns an issue to a user.
Creates options for a custom select field.
Creates a component.
Creates a project version.
Creates a chat completions with the chosen model.
Creates a new issue.
Popular Perplexity AI and Jira Cloud Platform workflows.
Looking to get more out of Perplexity AI and Jira Cloud Platform? With Make you can visually integrate Perplexity AI and Jira Cloud Platform into any workflow to save time and resources — no coding required. Try any of these templates in just a few clicks.
How to setup Perplexity AI and Jira Cloud Platform in 5 easy steps
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.
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.
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.
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.
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.
Automatically enrich Jira issues with relevant research and information from Perplexity AI to provide comprehensive context for development teams.
Use Perplexity AI's knowledge discovery to automatically suggest solutions and best practices when new issues are created in Jira.
Instantly populate Jira project documentation with industry insights and technical information gathered through Perplexity AI queries.
Automatically generate and attach detailed research summaries from Perplexity AI to Jira tickets, eliminating manual research documentation tasks.
![The Easiest Way to Integrate GitHub and Jira [Step-by-Step Guide]](/_next/image?url=https%3A%2F%2Fwww.make.com%2F_next%2Fimage%3Furl%3Dhttps%253A%252F%252Fimages.ctfassets.net%252Fun655fb9wln6%252Fblog-image-4234%252F11db22f2933d7fd503b9d03019ab1243%252Fgithub-jira-integration.png%26w%3D1920%26q%3D75&w=3840&q=75)
FAQ
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.
A scenario represents a workflow or a project of your own creation, and it is made up of a series of modules that automate apps and services. Creating a scenario allows you to transfer and transform data between apps and services via these modules to automate anything and improve the way you work.
Modules are the main building blocks of automation in Make. Modules represent actions that Make performs with an app, like creating, updating, or deleting data.
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