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Linear MCP

Manage Linear issues and projects with AI

Developer ToolsOpen SourceAll ModelsEasy
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Maintenance status

No recent updates
Last code update: May 1, 2025License: MITChecked September 28, 2026

No code pushed in over six months.

How to Install Linear MCP

$npx linear-mcp

Requires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.

Setup by client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "linear-mcp": {
      "command": "npx",
      "args": [
        "linear-mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "linear-mcp": {
      "command": "npx",
      "args": [
        "linear-mcp"
      ]
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "linear-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "linear-mcp"
      ]
    }
  }
}

Claude Code (terminal)

claude mcp add linear-mcp -- npx linear-mcp

Add any API keys or environment variables the server's README lists.

About Linear MCP

Create, update and search Linear issues. Great for AI-powered triage. Teams on Atlassian can connect Jira to Claude for the same workflow.

Linear MCP is a Developer Tools MCP server designed for professional engineers and engineering teams. It enables wiring AI assistants into the inner loop of writing and shipping code by exposing Git, package, build, and CLI operations as MCP tools. Key capabilities include git and github operations (status, blame, prs), package and dependency inspection, build and test runner integration, and structured tool calls that work cleanly inside an LLM context. It integrates with Git, GitHub, GitLab, npm, pnpm, Docker, and common build systems, and is best suited for professional engineers and engineering teams who need reviewing diffs and opening prs from chat.

Key Features

  • linear
  • issues
  • project-management
  • Git and GitHub operations (status, blame, PRs)
  • Package and dependency inspection
  • Build and test runner integration

Pricing

Open Source: from Free

Pros & Cons

Pros

  • Acts more like a pair programmer with real tools
  • Tight scoping (one repo, dry-run) limits blast radius
  • Keeps flow inside the editor

Cons

  • Write operations require explicit guardrails
  • Quality of output depends on repo hygiene
  • Larger monorepos may need extra filtering

Best For

  • Reviewing diffs and opening PRs from chat
  • Triaging CI failures
  • Scaffolding new packages or modules
  • Repo-wide refactors with verification

Our Take on Linear MCP

Lighter footprint than GitHub MCP. If your team lives in Linear, install this.

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View GitHub MCP →
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Frequently Asked Questions

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