Linear MCP Server
Updated June 2026✓ Official⭐ FeaturedThe Linear MCP server connects your AI assistant directly to Linear's project management platform via an officially hosted remote endpoint at mcp.linear.app — no local installation required. Built by Linear, it is officially maintained and best for Coding & Dev.
by Linear
About
The Linear MCP server connects your AI assistant directly to Linear's project management platform via an officially hosted remote endpoint at mcp.linear.app — no local installation required. This is Linear's own first-party server, authenticated with OAuth 2.1 and centrally managed so you always run the latest version without updates. Available tools let you search issues by keyword, team, cycle, or filter; create new issues with title, description, and assignee; update status, priority, labels, and comments; and navigate Linear's project and cycle structure. In Claude Code, add it with: `claude mcp add --transport http linear-server https://mcp.linear.app/mcp`, then run /mcp to complete the OAuth flow. For older clients, use the mcp-remote bridge for backwards compatibility. Claude Desktop and Claude.ai users can connect via Settings > Connectors. Cursor and Codex have native support via their MCP config. Linear is used by thousands of engineering and product teams to plan, track, and ship software — the Linear MCP server brings that data into every AI-powered workflow without copy-paste or context-switching.
Trust verdict
How grades are computed →No repository for this entry resolves against the live GitHub API, so there is nothing to verify. It is deliberately left unscored rather than given a number we cannot stand behind.
What could not be measured
These contributed nothing to the score — not a penalty, not a zero. They are why the confidence reads the way it does.
- Source verificationunknown
No repository for this entry resolves against the live GitHub API. Without a confirmed source there is nothing to inspect, so this entry is excluded from trust scoring entirely rather than scored on catalog metadata alone.
Installation
claude mcp add --transport http linear-server https://mcp.linear.app/mcpLinear's MCP server is first-party, remote, and centrally hosted — there is no repository to clone and no package to install, which is why this page has no GitHub link. You point a client at an HTTPS endpoint and authorise it. The detail worth knowing before you set it up is that there are two endpoints, and the read-only one is the better default for anything you are not supervising closely.
Connecting to Linear MCP
1.Pick read-write or read-only
https://mcp.linear.app/mcp is read-write. For read-only there are two routes: connect to https://mcp.linear.app/mcp/readonly, which only ever exposes read tools, or use the standard endpoint and request only the `read` OAuth scope — clients that do get a token that cannot reach write APIs. An agent that can silently re-title and re-status issues in a shared tracker is worth a moment's thought.
2.Claude Code
Add it over HTTP transport, then run /mcp inside a session to complete the OAuth flow.
shellclaude mcp add --transport http linear-server https://mcp.linear.app/mcp3.Claude Desktop, Claude.ai and Cursor
Claude Desktop and Claude.ai connect through Settings → Connectors rather than a config file. Cursor has Linear in its MCP directory, so it installs from there without hand-written JSON.
4.Codex
One command, which prompts the login. On a first-ever MCP setup in Codex you also need experimental_use_rmcp_client = true under [features] in ~/.codex/config.toml.
shellcodex mcp add linear --url https://mcp.linear.app/mcp5.Anything that only speaks stdio
Older clients — and VS Code, Windsurf and Zed as documented — bridge to the remote server through mcp-remote. Command `npx`, arguments `-y mcp-remote https://mcp.linear.app/mcp`, no environment variables.
shellnpx -y mcp-remote https://mcp.linear.app/mcp
What people use it for
Turn a planning doc into a structured project
“Read this planning document, create a Linear project reflecting its objective, scope and timeline, then create issues for the work — each with a clear title and a description capturing the problem, the goal, the proposed approach and any open questions.”
Linear publishes this as a worked example. The value is not the issue creation, it is that descriptions arrive populated instead of as bare titles someone has to fill in later.
Ask the tracker a question instead of building a view
“What is still open in the current cycle for my team, and which of it has been in review for more than three days?”
Read tools only — a good first workflow to run against the /mcp/readonly endpoint before granting write access.
File an issue from the code you are looking at
“Create a Linear issue for the race condition in this file, with a reproduction from the failing test, and link it to the current project.”
Keeps the context that produced the bug attached to it, which is the part that normally gets lost between editor and tracker.
Every command, environment variable, and endpoint above was read from the project’s own documentation on 2026-08-09: Linear docs — MCP server.
Categories
Frequently Asked Questions
Is there a GitHub repo or npm package for the Linear MCP server?
How do I give an AI client read-only access to Linear?
Can I authenticate with a Linear API key instead of OAuth?
Does Linear MCP work with Okta SSO?
What is Linear MCP Server?
Who built Linear MCP Server?
Is Linear MCP Server free?
How do I install Linear MCP Server?
What does Linear MCP Server integrate with?
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Live Status
- Latency
- 195 ms
OAuth-gated (HTTP 401): Streamable HTTP error: Error POSTing to endpoint: {"error":"invalid_token","error_description":"Missing or invalid access token"}
Quick Info
- Install Type
- npm
- Author
- Linear
- Categories
- 2
- Integrations
- 5
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