The Model Context Protocol (MCP) server provides a standardized interface that allows any compatible AI model or agent to access your Linear data in a simple and secure way.

Overview⁠ Loops let Linear drive work forward automatically. They can trigger on a scheduled cadence, or when issues match a set of conditions. Consider creating loops for repeatable tasks, like: - When an issue enters t

Get to know a bit about the team and what drives us Our mission ... Is to build the cloud computing stack that unburdens you, so you can focus more on what matters to you. Our vision ... Is to unleash a new golden age of

B Blog E Events D Docs Y Youtube G Github M Meetups U Community Blog(114) /Filters Fig. 3

The graph shows you the progress you’re making toward completing your project and estimates when you’ll complete it. Overview⁠ Project graphs autogenerate once the status of a project has been moved to a Started statu

Build and deploy AI agents that work alongside your team Overview⁠ Agents, also known as “app users”, behave similar to other users in a workspace. Depending on the permis

Today, we're excited to share that Fabio Kubo is joining our software engineering team. With over 10 years of experience, Kubo has helped scale products to millions of customers at companies like iFood and Nu. We're thri

The graph displays the progress you’ve made in your cycle. Overview⁠ Cycle graphs autogenerate once a cycle has begun and update automatically as work in the cycle changes. When viewing a specific cycl

AI and automations *Create issues from conversationMention @Linear in Slack or Teams to turn discussions into scoped issues

Build and deploy Deploy anything without the complexity Connect your repo, Railway handles the rest. Auto-config, instant previews, no new tools to learn. Learn more → See your infrastructure Craft on a visual canvas tha