ChatGPT + Linear: What the Integration Can (and Can't) Do in 2026
Yes, ChatGPT integrates with Linear — there’s an official Linear app in ChatGPT, running on Linear’s hosted MCP server, and it reads and writes. Linear’s MCP server lives at mcp.linear.app/mcp with OAuth sign-in and 25+ tools covering issues, projects, cycles, and comments — so ChatGPT can pull up what’s blocking a milestone, file a clean bug from a messy report, and update issues on request. You can also add Linear as a source in deep research, so long-form investigations cite your actual tracker.
The shape to understand: it all happens inside a conversation or agent run you start. ChatGPT doesn’t watch your tracker — no rule fires when a bug is filed, when an issue goes stale, or when a customer email should become a ticket.
Here’s what the ChatGPT Linear integration actually does, how to connect it, and what to use when you want tracker work that runs without you.
What ChatGPT can actually do with Linear
- Read issues, projects, and cycles. “What’s still open against the launch milestone?” answered from live data, scoped to what your Linear account can see.
- Create and update issues. Turn a bug report or a spec discussion into a real issue with title, description, assignee, priority, and labels — then change status or reassign later from chat.
- Triage on request. Summarize the backlog, group open issues by theme, suggest priorities, draft acceptance criteria.
- Feed deep research. With Linear connected as a source, ChatGPT’s deep research mode can surface relevant issues, projects, and discussions in its reports.
- Run inside ChatGPT Work. OpenAI’s ChatGPT Work agent (launched July 9, 2026 on GPT-5.6) can @-mention connected apps from its 1,400+ app directory and work autonomously for hours on a brief — “audit this cycle, file cleanup issues, draft the retro doc” is now a single run. Runs are still ones you start, metered against your plan allowance.
How to set it up
- In ChatGPT, open Settings → Apps, find Linear, and click Connect (or start from Linear’s ChatGPT integration page).
- Sign in to your Linear workspace via OAuth and approve the requested access.
- Ask about your tracker — “@Linear, what shipped this cycle?” — or tell it to file an issue.
- For deep research, add Linear as a source when composing the research task.
Linear hosts the MCP server, so there’s nothing to run or maintain — access mirrors what the authorizing user can already see in Linear.
The limits that actually matter
- No triggers. There’s no “when a bug lands in triage, label and route it,” no “when an issue goes stale for a week, ping the assignee.” ChatGPT touches Linear when you prompt it — a Linear event never wakes it up.
- Per-run autonomy, not residency. ChatGPT Work stretches what one session can do, but each run starts when you start it and ends when the brief is done — and heavy agent use draws down a metered allowance. Nothing stays on your tracker between runs.
- It won’t connect Linear to your inbox on its own. Customer emails becoming triaged issues, stale-issue chases, stakeholder updates when a project closes — those are standing workflows the app doesn’t build or run.
If you want Linear work that runs on its own: Carly
The moment you want your tracker tended — a bug report email becomes a labeled issue the minute it arrives, stale issues get chased automatically, a release summary emails itself when a cycle ends — you’ve crossed past what the ChatGPT app is for.
That’s where Carly fits. Carly is an AI executive assistant that acts on triggers, 24/7, in the cloud:
- Fires on events — an email lands, a form is submitted, a schedule hits, and Carly acts. Nothing to keep open.
- Connects Linear to the rest of your stack — inbound requests become issues, and the right people get looped in across email, calendar, and tasks in one flow.
- Actually sends — drafts and sends email across Gmail and Outlook, files and labels, updates your CRM.
- No-code setup — tell Carly “turn bug report emails into triaged Linear issues and confirm receipt to the sender” in plain English; it interviews you and builds the workflow.
- Connects to anything — 200+ native integrations, plus any other tool via your own API key.
AI agents start at $35/month, and steps in a workflow that don’t use AI run free and unlimited. By the way, Carly also integrates with Linear natively.
ChatGPT vs Carly
| ChatGPT (Linear app) | Carly | |
|---|---|---|
| Read issues, projects & cycles | Yes | Yes |
| Create/update issues | Yes (in chat) | Yes (automatically) |
| Triage the backlog | Yes (when you ask) | Yes (on triggers) |
| Acts on Linear events, 24/7 | No | Yes, on any trigger |
| Long autonomous runs | Yes (ChatGPT Work, metered, per-run) | Yes (standing workflows) |
| Turns inbound email into issues unprompted | No | Yes |
| Emails the sender or stakeholders itself | No | Yes (Gmail + Outlook) |
| Setup | Enable the app | Describe it in plain English |
| Pricing | ChatGPT plan + metered agent usage | AI agents from $35/mo |
The ChatGPT Linear app is a tracker you operate by conversation. Carly is an assistant that tends the tracker while you build.
Frequently Asked Questions
Does ChatGPT work with Linear?
Yes. There’s an official Linear app in ChatGPT, built on Linear’s hosted MCP server (mcp.linear.app/mcp) with OAuth and 25+ tools. ChatGPT can read issues, projects, and cycles, create and update issues, and use Linear as a deep research source — inside a chat you’re driving.
Can ChatGPT triage new Linear issues automatically?
No. It triages when you ask, in a session you start — no Linear event or inbound email can trigger it. For automatic triage and routing, you need a trigger-based assistant like Carly.
How do I connect ChatGPT to Linear?
Open Settings → Apps in ChatGPT, find Linear, click Connect, and sign in to your workspace via OAuth. Linear hosts the MCP server, so there’s nothing to run — then just ask about your issues.
What does ChatGPT Work add for Linear users?
Depth per run. ChatGPT Work (launched July 9, 2026) can @-mention Linear alongside other connected apps and work a multi-step brief for hours, with usage metered against your plan. It makes single runs much more capable — it doesn’t add triggers or an always-on presence on your tracker.
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