Linear MCP Integration

Weldable's Linear MCP integration connects your AI agents to Linear for managing issues, projects, and cycles through natural language. Linear launched its own AI agent in public beta in March 2026, with Agent and Skills included on all plans. Weldable complements this by letting your agents work across Linear and your other connected services in coordinated workflows, with authentication and API details handled for you.

Your agent takes plain English commands and Weldable maps them to the right Linear API calls. Create issues, update statuses, query projects, or manage labels without leaving your AI conversation.

Use cases

Triage automation

Your agent watches Linear's triage queue for new issues. It analyzes each issue's title and description, assigns the appropriate team, sets priority based on keywords and historical patterns, and applies relevant labels. Issues that mention specific customers or services get linked to the correct project automatically. This mirrors Linear's built-in Triage Intelligence but extends the logic across your other tools, so a triaged issue can also trigger a Slack notification or a Jira sync.

Sprint cycle reporting

At the end of each cycle, your agent pulls all completed issues, groups them by project and label, and generates a summary. It calculates velocity metrics like issues completed, points delivered, and average cycle time. The report gets posted to Slack or saved to Google Docs. Teams get a consistent, automated retrospective data package without anyone manually tallying results.

Bug-to-fix tracking

When your agent creates a bug in Linear from a Sentry alert or a customer report, it tracks the issue through its lifecycle. As the issue moves through statuses, the agent can notify the original reporter in Slack, update a customer-facing status page entry, or log the resolution in a Google Sheet. This closes the loop between bug detection and customer communication without manual follow-up.

Meeting notes to issues

After a planning meeting, paste the notes into your agent conversation. It parses action items, creates Linear issues with the right titles and descriptions, assigns them to the people mentioned, sets priority levels, and adds them to the current cycle. What used to take 15 minutes of post-meeting cleanup happens in a single agent interaction.

Cross-tool development workflow

Your agent monitors Linear for issues that move to "In Progress." It creates a corresponding GitHub branch, and when the associated pull request merges, it moves the Linear issue to "Done" and posts a notification in Slack. This keeps Linear in sync with your actual development activity without anyone remembering to update their tickets.

How it works

Connect your Linear workspace through OAuth. Weldable requests the scopes needed for issue and project management. Tokens refresh automatically in the background so your agent always has valid credentials.

Describe what you want in natural language. Weldable matches your intent to the correct Linear API operation, resolves team names, project identifiers, and label IDs, and executes the request. Your agent can chain Linear actions with other integrations for multi-step workflows that span your entire toolchain.

Tips

Use project and team names, not IDs. Tell your agent "create an issue in the Backend project" and Weldable resolves the project identifier automatically. This keeps your commands readable and avoids hunting through Linear's settings for UUIDs.

Labels are powerful filters. Linear's label system supports hierarchical grouping. Your agent can filter issues by label combinations like "bug" and "high priority" to get precise results. Creating consistent label conventions makes agent queries more reliable.

Cycle dates drive automation timing. Your agent can query the current cycle's start and end dates to time reports and summaries correctly. Reference "current cycle" in your commands and Weldable resolves it to the active cycle for the relevant team.

Issue descriptions support Markdown. Your agent formats issue descriptions with headers, code blocks, and links. Including structured details when creating issues makes them actionable from the moment they appear in someone's queue.

Linear's API is GraphQL-based. Weldable abstracts this away, but it means queries can be very specific about which fields to return. If you need particular data points in a report, mention them explicitly and the agent will include them in the query.