Overview: Creates filter _rawBody through Jira.
Benefits:
Common Use Cases:
With Adopt AI, your agents can tap into Jira's full project tracking capabilities. Here are five ways teams use the Jira MCP integration:
1. Automated Issue Triage & Assignment
AI agents analyze incoming Jira issues, classify them by type and priority, and auto-assign them to the appropriate team members based on workload and expertise.
2. Sprint Planning & Backlog Management
AI agents analyze Jira backlogs, recommend sprint compositions based on team velocity, and flag blockers that could impact delivery timelines.
3. Cross-Tool Development Sync
Automatically sync Jira issues with GitHub PRs, Slack notifications, and CI/CD pipelines to keep development workflows connected and up to date.
4. Release Tracking & Changelog Generation
AI agents track resolved Jira issues across versions and automatically generate release notes, changelogs, and deployment summaries for stakeholders.
5. Team Productivity & Cycle Time Analysis
AI agents analyze Jira workflow data to measure cycle times, identify bottlenecks, and generate productivity reports for engineering leadership.
Adds a comment to an to an existing Jira issue.
Lists screen tabs for a screen id (admin).
Lists current user favourite filters.
Applies transition id in _rawBody.
Get Project and issues info using Name or Key In Jira.
Lists project categories.
Removes watcher.
Gets board features.
Lists security schemes.
PUT/PATCH fields in _rawBody.
Retrieves all workflow statuses associated with a given Jira project using the Jira Cloud REST API.
Gets user by accountId.
Deletes worklog.
Sends email notification _rawBody.
Issue picker suggestions.
Adds worklog _rawBody.
Lists remote links.
Gets project by key or id.
Lists project avatar types.
Lists worklogs.
Creates sub-task via parent field in _rawBody.
Gets myself.
Lists resolutions.
Creates custom field options context (admin).
Get my JIRA user details.
Multipart upload not automated; use REST with binary per Atlassian docs.
Adds watcher accountId.
Ranks issues after/before in _rawBody.
Deletes filter.
Lists available transitions.
Updates filter.
Lists webhooks (admin).
Lists active sprints for board.
Gets workflow.
Lists components.
Updates worklog.
Adds remote link.
Cast vote.
Create issue metadata for project.
Deletes webhook.
JQL preset assignee=currentUser() AND status != Done.
Finds groups (admin).
Agile: lists boards.
Lists issue link types.
Lists projects.
Removes vote.
Returns the details for an issue.
Gets votes count.
Gets backlog issues for board.
Updates comment.
Unarchives issue.
Lists application roles.
Deletes project.
Lists global issue types.
Deletes comment.
Sets project property.
Lists dashboards.
Creates issue link in _rawBody.
Lists workflows.
Lists boards filtered by project.
Retrieves the available issue types for a specific Jira project.
Archives issue.
Gets application role.
POST /search with jql, fields, maxResults, startAt, expand. Primary JQL tool. Examples: assignee=currentUser(); project=X AND sprint in openSprints().
Lists watchers.
Updates project.
Bulk permissions check _rawBody.
Creates a new Jira issue (e.g., bug, task, story) in a specified project.
Lists sprints on board.
Backlog-style JQL helper (project filter optional in jql).
Lists project types.
Jira instance info.
Lists permission schemes.
Moves sprint to closed state in _rawBody.
Lists roles for project.
Assigns issue accountId in _rawBody.
Issues in open sprints via JQL sprint in openSprints().
Lists favourite filters.
Updates sprint.
POST bulk fetch issues by list in _rawBody.
Gets board.
Enables/disables board feature.
Lists notification schemes.
Lists project properties keys.
Gets project property.
Updates labels via editmeta fields in _rawBody.
Deletes issue.
Suggests labels for field and substring.
Creates sprint _rawBody.
Deletes project property.
Gets sprint.
Get the project details for a project.
Returns issue with attachment field populated (fields=attachment).
Returns a page of issue type metadata for a specified project.
Lists all fields.
Gets dashboard.
Retrieves the full changelog history for a Jira issue using the Jira Cloud REST API.
Lists priorities.
Creates project _rawBody.
Find users pickers.
Do I need my own developer credentials to use Jira MCP with Adopt AI?
No, you can get started immediately using Adopt AI's built-in Jira integration. For production use, we recommend configuring your own API credentials for greater control and security.
Can I connect Jira with other apps through Adopt AI?
Yes! Adopt AI supports multi-app workflows, so your AI agents can seamlessly move data between Jira and CRMs, spreadsheets, messaging platforms, and more.
Is Adopt AI secure?
Absolutely. Adopt AI is SOC 2 Type 2 certified and ISO/IEC 27001 compliant, and adheres to EU GDPR, CCPA, and HIPAA standards. All data is encrypted in transit and at rest, ensuring the confidentiality, integrity, and availability of your data. Learn more here.
What happens if the Jira API changes?
Adopt AI maintains and updates all integrations automatically, so your agents always work with the latest API versions, no manual maintenance required.
Do I need coding skills to set up the Jira integration?
Not at all. Adopt AI's zero-shot API discovery means your agents understand Jira's schema on first contact. Setup takes minutes with no code required.
How do I set up custom Jira MCP in Adopt AI?
For a step-by-step guide on creating and configuring your own Jira API credentials with Adopt AI, see here.
