Connect Jira to your AI agents.

Connect Jira data to AI agents with Combined. Explore issues, projects, users, source setup, MCP access and read-only business queries.

Put Jira records to work in the agent you already use. Combined syncs business data into a managed data layer and exposes scoped, read-only queries through MCP.

Projects, issues, comments, worklogs, sprints, and team activity.

Start with 5 million MAR without a card; usage after the trial is $5 per million MAR, with no monthly minimum. Combined offers 1,125 connectors across catalog sources and connectors generated through desktop automation.

How to connect Jira to Combined

  1. Add your source. Open Connected Apps in Combined and select Jira. Use the account or workspace that contains the records you want to analyze.
  2. Authorize access. Complete the connection flow and choose the required permissions. The setup reference below shows the upstream source's configurable fields; the Combined flow may handle some of them for you.
  3. Select datasets and sync. Choose the relevant data, set any available history filters, and wait for the first successful sync.
  4. Grant your agent access. Use the Set up or Access workspace to connect your agent through MCP and scope it to the sources it needs.
  5. Ask a first question. Discover the synced schema, check freshness, and run a bounded read-only query. Then add another source for a cross-app analysis.

The onboarding guide covers the workspace flow. Prepare these Jira settings before connecting:

Jira source setup reference
SettingWhen neededInput
AuthenticationRequired by source schemaAPI Token / Service Account / OAuth2.0
API TokenDepends on selected setup optionCredential entered in the connection flow
EmailDepends on selected setup optionstring
Service Account TokenDepends on selected setup optionCredential entered in the connection flow
Client IDDepends on selected setup optionCredential entered in the connection flow
Client SecretDepends on selected setup optionCredential entered in the connection flow
Refresh TokenDepends on selected setup optionCredential entered in the connection flow
DomainRequired by source schemastring
Expand Issue ChangelogOptionalboolean
Expand Issue TransitionsOptionalboolean
Expand Issues streamOptionalarray
Lookback windowOptionalinteger
Number of concurrent threadsOptionalinteger
ProjectsOptionalarray
Render Issue FieldsOptionalboolean
Start DateOptionalstring

Authentication choices are alternatives. Supply the settings for your selected method; enter credentials in the connection flow, rather than in an agent prompt.

Jira datasets you can evaluate

This reference comes from the upstream source catalog and connector definition, version 6.0.1. Your account permissions, selected streams and successful sync determine what your agent can query. Discover the actual table and field names in Combined before writing SQL.

Jira dataset and schema reference
DatasetRecord keyUpdate fieldExample fields
issuesidupdatedexpand, id, self, key, renderedFields (19 fields in reference)
projectsidInspect sync configurationexpand, self, id, key, description (34 fields in reference)
usersaccountIdInspect sync configurationself, key, accountId, accountType, name (14 fields in reference)
issue_fieldsidInspect sync configurationid, key, name, custom, orderable (11 fields in reference)
application_roleskeyInspect sync configurationkey, groups, name, defaultGroups, selectedByDefault (14 fields in reference)
avatarsidInspect sync configurationid, owner, isSystemAvatar, isSelected, isDeletable (7 fields in reference)
boardsidInspect sync configurationid, self, name, type, projectId (7 fields in reference)
dashboardsidInspect sync configurationdescription, id, isFavourite, name, owner (14 fields in reference)
filtersidInspect sync configurationexpand, self, id, name, description (15 fields in reference)
groupsgroupIdInspect sync configurationname, groupId
issue_link_typesidInspect sync configurationid, name, inward, outward, self
issue_navigator_settingsInspect schemaInspect sync configurationlabel, value
issue_notification_schemesidInspect sync configurationexpand, id, self, name, description (7 fields in reference)
issue_prioritiesidInspect sync configurationself, statusColor, description, iconUrl, name (7 fields in reference)
issue_resolutionsidInspect sync configurationself, id, description, name, isDefault
issue_security_schemesidInspect sync configurationself, id, name, description, defaultSecurityLevelId (6 fields in reference)
issue_typesidInspect sync configurationavatarId, description, entityId, hierarchyLevel, iconUrl (11 fields in reference)
issue_type_schemesidInspect sync configurationid, name, description, defaultIssueTypeId, isDefault
issue_type_screen_schemesidInspect sync configurationid, name, description
jira_settingsidInspect sync configurationid, key, value, name, desc (9 fields in reference)
labelslabelInspect sync configurationlabel
permissionskeyInspect sync configurationkey, name, type, description
permission_schemesidInspect sync configurationexpand, id, self, name, description (7 fields in reference)
project_categoriesidInspect sync configurationself, id, name, description
project_rolesidInspect sync configurationactors, admin, currentUserRole, default, description (11 fields in reference)
project_typesInspect schemaInspect sync configurationkey, formattedKey, descriptionI18nKey, icon, color
screensidInspect sync configurationid, name, description, scope
screen_schemesidInspect sync configurationid, name, description, screens, issueTypeScreenSchemes
time_trackingkeyInspect sync configurationkey, name, url
workflowsInspect schemaInspect sync configurationid, name, description, isEditable, scope (13 fields in reference)
workflow_schemesidInspect sync configurationid, name, description, defaultWorkflow, issueTypeMappings (13 fields in reference)
workflow_statusesidInspect sync configurationself, description, iconUrl, name, id (8 fields in reference)
workflow_status_categoriesidInspect sync configurationself, id, key, colorName, name
filter_sharingidInspect sync configurationid, filterId, type, project, role (6 fields in reference)
issue_custom_field_contextsidInspect sync configurationid, fieldId, name, description, isGlobalContext (7 fields in reference)
issue_custom_field_optionsidInspect sync configurationid, value, optionId, disabled, fieldId (6 fields in reference)
issue_propertieskeyInspect sync configurationkey, issueId, value, isdefault
issue_remote_linksidInspect sync configurationid, issueId, self, globalId, application (7 fields in reference)
issue_transitionsissueId + idInspect sync configurationfields, hasScreen, id, issueId, isAvailable (11 fields in reference)
issue_votesInspect schemaInspect sync configurationself, issueId, votes, hasVoted, voters
issue_watchersInspect schemaInspect sync configurationself, issueId, isWatching, watchCount, watchers
project_avatarsidInspect sync configurationid, projectId, owner, isSystemAvatar, isSelected (8 fields in reference)
project_componentsidInspect sync configurationself, id, name, description, lead (16 fields in reference)
project_emailprojectIdInspect sync configurationprojectId, emailAddress
project_permission_schemesidInspect sync configurationself, projectId, id, description, name
project_versionsidInspect sync configurationexpand, self, id, description, name (17 fields in reference)
screen_tabsidInspect sync configurationid, name, screenId
screen_tab_fieldsidInspect sync configurationid, name, screenId, tabId
sprintsidInspect sync configurationid, self, state, name, startDate (11 fields in reference)
users_groups_detailedaccountIdInspect sync configurationself, key, accountId, accountType, name (14 fields in reference)
board_issuesidupdatedexpand, id, self, key, fields (8 fields in reference)
sprint_issuesidupdatedexpand, id, self, key, fields (9 fields in reference)
issue_commentsidupdatedself, id, issueId, author, body (12 fields in reference)
issue_worklogsidupdatedself, author, updateAuthor, comment, created (13 fields in reference)
issue_changelogsidupdatedid, items, author, created, updated (6 fields in reference)

A cursor tracks changes for a source stream. It is not automatically the right date for a business metric: invoice date, close date and record-update date can answer different questions.

Useful Jira questions for your AI agent

Start with the datasets you have granted. These prompts turn the referenced schema into checks and summaries; the agent should verify each field against your synced data.

  • What is the backlog by project, issue type and current status? Inspect the workflow status names first.
  • Which unresolved issues are past their due date?
  • Which issues changed status during the reporting window? Use changelog records if the source exposes them.
  • Summarize customer-linked issues using explicit support or CRM references rather than matching company names loosely.

Combine Jira with another business app

Connect the second source, identify a maintained customer, account or project mapping, and aggregate each dataset before joining. Keep unmatched records visible and define the reporting window. The CRM-and-billing worked example includes runnable SQL demonstrating how a many-to-many join can double the result.

Use Jira data in Claude Code, Cursor or another MCP client

Once the source is synced, the agent connects to Combined's MCP interface. Use the generated account-specific configuration from your workspace, keep credentials local, and grant only the sources needed for the task. Follow the Claude Code walkthrough or the MCP setup reference.

Use Combined to analyze my Jira data.
List my granted sources, discover the datasets and describe their fields.
Look for datasets corresponding to issues, projects, users, issue_fields, application_roles, avatars.
Check the last successful sync and report the available date coverage.
Propose three useful questions based on the fields actually available.
For the question I choose, run read-only SQL over the complete matching dataset.
Use a bounded result; include source names, time window and query receipt.
Ask for a missing join key or metric definition instead of inventing one.

Download this Jira guide as Markdown to use alongside your agent instructions.

Which Jira connection fits the task?

Managed data for complete questions across apps

Choose Combined when you want to analyze synced records, calculate totals, or join Jira with other business data without operating a separate ingestion and query stack. The agent works with your source grants and read-only SQL access.

Application tools for live operations

For a task that must change Jira immediately, evaluate its available API, native agent tools or desktop workflow. Keep application-action permissions separate from read-only analytics access. A live lookup and an aggregate over synced history solve different jobs.

Desktop-generated connectors for workflows beyond the catalog

Combined's 1,125-connector coverage includes connections generated through computer use. Choose this route when the workflow depends on an application's desktop or browser interface, and establish the fields, access and refresh behavior for that connection.

Read the direct MCP versus managed data comparison and compare business-data MCP options.

Troubleshoot your Jira connection

  • Authorization fails: check the selected authentication method, credential validity, source permissions and target account.
  • History is missing: check the source's start-date or history filter and allow the initial sync to finish before comparing totals.
  • The wrong records appear: verify the workspace, account, project or domain selected in the source settings.
  • A dataset is absent: check whether it is enabled and permitted for your account, then inspect discovery and sync status.
  • The agent cannot query it: confirm the source is included in the agent's grant and that its sync succeeded.
  • A total looks wrong: inspect record keys, duplicate rows, time zones, currencies and join fanout before changing the prompt.

Source details reviewed September 10, 2026. Jira upstream connector documentation · Versioned connector definition. See also Combined Sources and data freshness for AI agents.