The Jira Cloud connector for Gemini Enterprise provides access to your Jira Cloud data, allowing you to interact with your projects, issues, and user information.
Supported Jira Cloud versions
The Jira Cloud connector supports version 2 of the Jira Cloud REST API.
Supported actions
When the Jira Cloud connector is enabled, end users can use natural language commands in Gemini Enterprise to perform the following actions.
| Action | Description |
|---|---|
| Create comment | Creates a new comment on a specified Jira issue to add feedback, updates, or notes. |
| Update comment | Edits the text of an existing comment. |
| Create issue | Creates a new issue in a Jira Cloud project. To create one, you need to provide a summary, the project ID, and the issue type ID. |
| Update issue | Updates an existing issue in Jira Cloud. You need to provide the issue ID to identify it, and you can modify various fields such as the summary, description, and assignee. |
Required scopes
To enable Gemini Enterprise to perform search and actions using the Jira Cloud data store, you need the following scopes:
read:jira-user
, read:jira-work
write:jira-work
write:comment:jira
write:issue:jira
read:jira-user
, read:jira-work
read:jira-work
, read:user:jira
, read:group:jira
, read:avatar:jira
read:issue-security-level:jira
, read:issue-security-scheme:jira
read:audit-log:jira
write:jira-work
write:comment:jira
write:issue:jira
read:jira-work
, read:user:jira
, read:group:jira
, read:avatar:jira
read:issue-security-level:jira
, read:issue-security-scheme:jira
read:audit-log:jira
For information on how to configure these scopes, see Configure minimum application scope .
Rate limits for data ingestion
The Jira Cloud connector supports a default rate limit of 12 queries per second (QPS) for data ingestion. These rate limits apply exclusively to the ingestion of data from the Jira Cloud connector.
Limitations
This section outlines known issues and limitations that may affect your use of the Jira Cloud connector.
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Enforcing a VPC Service Controls perimeter on existing Jira Cloud data stores is not supported. To enforce VPC Service Controls, you must delete and recreate the data stores. For more information on VPC Service Controls and how to use actions after enabling VPC Service Controls, see Secure your app with VPC Service Controls .
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The Jira Cloud data store is supported only in Global, US, and EU locations.
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When creating a new application or adding a data store to an existing application, we recommend that you add a data store with actions belonging to a single connector type. For example, don't associate two Jira Cloud data stores with actions enabled to the same application.
The following are the limitations for the Jira Cloud ingestion connector:
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For unstructured data, each media type has different restrictions. For more information, see Prepare data for custom data sources .
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For structured data, each document must not exceed 500 KB in size.
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Application roles with specific, non-empty roles cannot be granted
Browse projector security level permissions. -
Document permissions determined by user custom fields or group custom fields are not supported.
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Jira Cloud doesn't allow any restrictions on worklog levels.
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Jira Cloud doesn't index PDF attachments that exceed 2,000 pages.
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Attachments added to private comments don't inherit the access restrictions (ACLs) on the comments.
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Only the previous 20 comments for an issue in Jira Cloud are fetched.
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Sprint tables can't be ingested.
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The legacy user management model is not supported for integration with Jira Cloud. Only the centralized user management model is supported. For more information, see Atlassian Organization consolidation guide .
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When querying a Jira entity (for example, an issue), related data like comments and attachments are not automatically included. This is because they are stored and indexed as separate entities. Searching based on the content of an attachment to find the parent issue is not supported.
What's next
- To create and configure a connector with Jira Cloud, see Set up a Jira Cloud data store .

