Connect Linear to your AIML.chat agents and they can search issues, create new ones, and move them through your workflow from a conversation — with a human approving every write. It installs from the MCP marketplace in a few clicks.
What your agents can do with Linear
Once connected, a Support or Technical agent can check whether a bug is already tracked before filing a duplicate, turn a messy report into a clean Linear issue, set the team and labels, and update status as work progresses. Reads happen automatically; anything that writes — creating or updating an issue — runs through AIML.chat's write-confirm flow, so the agent proposes and a person approves before it touches your board. Grounded in your content plus your issue data, the agent gives specific, cited answers instead of generic ones, and the analytics surface the bugs and requests that come up most so you know what to fix or document next.
Connect it in three steps
- 1In AIML.chat, open MCP → Marketplace → Linear and click Install.
- 2Authorize with Linear (API key or OAuth) and scope access to the teams the agents may use — least privilege.
- 3Attach the Linear tools to an agent and test: ask it to "file a bug: checkout fails on Safari" and confirm the write.
Because mutating actions require human approval, your backlog stays clean and intentional. You start on a real free tier and scale as usage grows — see pricing for the agent and message limits, and the MCP docs for how write-confirm works. There's also a ready-made Connect Linear MCP skill you can drop in.
Will the agent change Linear on its own?+
No. Reads are automatic, but creating or updating an issue requires human approval, scoped to the teams you allow.
What can the agent do with Linear?+
Search issues, check for duplicates, and draft, create, update, or transition issues — with approval on writes.
Is there a free plan?+
Yes — start on the free tier. See pricing for higher agent and message limits.