MCP connector
Linear
Search issues, projects and comments to see what’s already being worked on.
Connecting Linear to Rippit
MCP connector
Agents look things up and act in Linear
Lets Rippit’s agents look things up in Linear the moment they need to, in chat, or in scheduled Agent Apps when it’s shared. A Full Admin adds it once under Connections.
Read & Search
On by default- List IssuesList workspace issues with filters
- Get IssueRead one issue with attachments and branch name
- List Issue StatusesList statuses available in a team
- Get Issue StatusRead one issue status by name or ID
- List Issue LabelsList issue labels for workspace or team
- List CommentsList comments on a Linear item
- List ProjectsList workspace projects
- Get ProjectRead one project
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- List Project LabelsList workspace project labels
- List MilestonesList milestones in a project
- Get MilestoneRead one milestone by ID or name
- Get Status UpdatesList or read project and initiative updates
- List CyclesList a team's cycles
- Get Triage ResponsibilityShow current triage rotation and routing
- List TeamsList workspace teams
- Get TeamRead one team
- List UsersList workspace users
- Get UserRead one user
- Get WorkspaceRead the connected workspace
- List Custom ViewsList saved views the user can see
- List DocumentsList workspace documents
- Get DocumentRead one document by ID or slug
- List TemplatesList templates available to the user
- Get TemplateRead one template with pre-fills and fields
- List ReleasesList releases with filters
- Get ReleaseRead one release by ID or slug
- List Release PipelinesList release pipelines
- List Release NotesList release notes with filters
- Get Release NoteRead one set of release notes
- List DiffsList diffs (pull requests) visible to the user
- Get DiffRead one diff by URL, identifier, or slug
- Get Diff ThreadsRead comment threads on a diff
- Get AttachmentRead an attachment's content by ID
- Extract ImagesFetch images embedded in issue or document markdown
- Get NotificationsRead a page of the user's Linear inbox
- List Agent SkillsList available Linear Agent skills
- Get Agent SkillRead one Linear Agent skill
- Search DocumentationSearch Linear's product documentation
Create & Update
Off until a Full Admin turns them on- Save IssueCreate or update an issue
- Save CommentCreate or update a comment
- Delete CommentDelete a comment
- Save ProjectCreate or update a project
- Save MilestoneCreate or update a project milestone
- Save Status UpdateCreate or update a project or initiative update
- Delete Status UpdateArchive a project or initiative update
- Save DocumentCreate or update a document
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- Save Issue LabelCreate or update an issue label
- Create Issue LabelCreate an issue label (deprecated)
- Retire Issue LabelRetire an issue label
- Restore Issue LabelRestore a retired issue label
- Save Project LabelCreate or update a project label
- Retire Project LabelRetire a project label
- Restore Project LabelRestore a retired project label
- Save ReleaseCreate or update a release
- Save Release NoteCreate or update release notes
- Share IssueShare an issue with a user
- Unshare IssueRemove a user's shared access to an issue
- Prepare Attachment UploadPrepare a direct file upload for an issue
- Create Attachment From UploadAttach an uploaded file to an issue
- Create AttachmentUpload a small file inline (deprecated)
- Delete AttachmentDelete an attachment
- Save Diff CommentCreate, reply to, or edit a diff comment
- Delete Diff CommentDelete a diff comment or draft
- Resolve Diff ThreadResolve or reopen a diff comment thread
- Submit Diff ReviewApprove, request changes, or submit a diff review
- Merge DiffMerge a diff or add it to the merge queue
- Mark NotificationMark a notification read, unread, or snoozed
Linear can change this list. Manage tools on your connection always shows what’s current.
If you want to ingest Linear content, use the API
There’s no built-in bulk ingest for Linear. Send its data to Rippit with the API and a coding agent instead.
Then you can
- Label every record with AI columns
- Ask questions across every conversation
- Query it as tables
- Join it with your other data
- Run it on a schedule
