Context4
Context4MCP connector / BETA

Linear MCP connector

Find Linear issues, review team work and create new tasks.

Start with your task

Linear — in your AI.
Start with one task.

Copy the prompt for your AI. You will confirm the account connection and access permission separately.

What you can ask AI to do ↓

Your data. Your tasks.

What to ask AI to do in Linear

Start with one clear task. These examples use the current connector's tools; results depend on your account data and permissions.

01

Find an issue

«Find Linear issues about this topic and help choose the right one.»

AI will search available issues.

02

Record a task

«Create a Linear issue based on our conversation. Clarify the team and required fields.»

AI can create the issue after clarifying its parameters.

03

Give your team context

«Add a comment to this Linear issue with the agreed outcome of our discussion.»

AI can send the specified comment to the selected issue.

From prompt to first task

How to connect Linear to AI

  1. 01

    Copy the prompt

    Choose an AI client in the setup block. Paste the prompt into your chat and send it: it explains how to configure Context4 and find the service you need.

  2. 02

    Connect your account

    Sign in to Context4, then sign in to Linear and confirm access in your browser.

  3. 03

    Assign your first task

    Start by reading data from Linear. AI will check the available tools and connection, then perform a suitable request if possible.

For ChatGPT, you need to add an HTTPS-accessible MCP server manually. Connection availability depends on your account and workspace settings. ChatGPT guide →

Your account.
Your permissions.

Context4 gives AI tools to work with Linear. Data and actions are available within the connected account's permissions.

AI may receive an empty response or an access error. To make changes, it needs an appropriate tool, parameters and your instruction.

How connections and authorization work →Context4: Linear MCP connector, an AI request and available actions

Before you connect

Questions about Linear and MCP

What does the Linear MCP connector provide?

It gives your AI tools for interacting with Linear. Find Linear issues, review team work and create new tasks. Available actions depend on the connector implementation and the connected account's permissions. Learn more about how MCP works in Context4.

What tasks can I assign to AI in Linear?

For example: find an issue, record a task, give your team context. Example requests appear above. The answer is based on data returned by the service; missing data or insufficient permissions may prevent a result.

What do I need to connect Linear?

An account in Linear, permission to access the required data and an AI client that supports MCP. Linear uses OAuth 2.0: you sign in and confirm access in your browser. Details are in our service connection guide.

Can I connect Linear to my AI?

The setup guide has separate paths for ChatGPT, Claude, Codex, Claude Code, Hermes and OpenClaw. ChatGPT needs a plugin; Codex can connect MCP directly. The prompt explains the steps, but does not automatically install a missing plugin. Access depends on client capabilities and your account permissions. End-to-end compatibility of Hermes and OpenClaw with Context4 has not yet been verified.

Can AI change data in Linear?

Only if the connector provides the relevant tool and it is available to your connection. Explicitly request creation, changes or sending: specify the object and required action. Check the result afterwards. Connectors do not all support the same operations.

How do I disconnect access to Linear?

Disconnect the account in Context4 and revoke the permission or key in the settings of Linear. Do not paste passwords or secret keys into a regular AI chat. Learn more about access management.

How much does using Linear through Context4 cost?

Context4 is free. See the terms of use or support. Subscriptions to Linear and the AI client may be billed separately under each service's rules.

Technical reference Linear

Version 1.4.0 · beta · 18 actions in the catalog. Permissions and availability are checked when connecting.

MCP connector actions

  • Comment on an issue

    comment.create

  • List comments of an issue

    comment.list

  • List cycles of a team

    cycle.list

  • Archive an issue

    issue.archive

  • Create an issue

    issue.create

  • Get an issue

    issue.get

  • List issues

    issue.list

  • Get an issue with its comments

    issue.overview

  • Create an issue by team key or name

    issue.save

  • Search issues by text

    issue.search

  • Restore an archived issue

    issue.unarchive

  • Update an issue

    issue.update

  • List issue labels

    label.list

  • List projects

    project.list

  • List workflow states of a team

    state.list

  • List Linear teams

    team.list

  • List Linear users

    user.list

  • Get the current Linear user

    user.me

Data and authorization

Authorization: OAuth 2.0.

  • Public-team Issues