Linear

Enables AI agents to manage issues, projects, and teams on the Linear platform. MCP server.

Installation

Installing for Claude Desktop

Option 1: One-Command Installation

npx mcpbar@latest install ibraheem4/linear-mcp -c claude

This command will automatically install and configure the Linear MCP server for your selected client.

Option 2: Manual Configuration

Run the command below to open your configuration file:

npx mcpbar@latest edit -c claude

After opening your configuration file, copy and paste this configuration:

View JSON configuration
{
  "mcpServers": {
    "Linear": {
      "command": "node",
      "args": [
        "/path/to/linear-mcp/build/index.js"
      ],
      "env": {
        "LINEAR_API_KEY": "your-api-key-here"
      },
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

Linear MCP Server

Note: This is a custom implementation. For the Cline Linear MCP server, see cline/linear-mcp or Linear's Blog Post about MCP.

image

A Model Context Protocol (MCP) server that provides tools for interacting with Linear's API, enabling AI agents to manage issues, projects, and teams programmatically through the Linear platform.

Features

  • Issue Management

    • Create new issues with customizable properties (title, description, team, assignee, priority, labels)
    • List issues with flexible filtering options (team, assignee, status)
    • Update existing issues (title, description, status, assignee, priority)
  • Team Management

    • List all teams in the workspace
    • Access team details including ID, name, key, and description
  • Project Management

    • List all projects with optional team filtering
    • View project details including name, description, state, and associated teams

Prerequisites

  • Node.js (v16 or higher)
  • A Linear account with API access
  • Linear API key with appropriate permissions

Quick Start

  1. Get your Linear API key from Linear's Developer Settings

  2. Run with your API key:

LINEAR_API_KEY=your-api-key npx @ibraheem4/linear-mcp

Or set it in your environment:

export LINEAR_API_KEY=your-api-key
npx @ibraheem4/linear-mcp

Development Setup

  1. Clone the repository:
git clone [repository-url]
cd linear-mcp
  1. Install dependencies:
npm install
  1. Build the project:
npm run build

Running with Inspector

For local development and debugging, you can use the MCP Inspector:

  1. Install supergateway:
npm install -g supergateway
  1. Use the included run.sh script:
chmod +x run.sh
LINEAR_API_KEY=your-api-key ./run.sh
  1. Access the Inspector:
    • Open localhost:1337 in your browser
    • The Inspector connects via Server-Sent Events (SSE)
    • Test and debug tool calls through the Inspector interface

Configuration

Configure the MCP server in your settings file based on your client:

For Claude Desktop

  • MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
  • Windows: %APPDATA%/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "linear-mcp": {
      "command": "node",
      "args": ["/path/to/linear-mcp/build/index.js"],
      "env": {
        "LINEAR_API_KEY": "your-api-key-here"
      },
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

For VS Code Extension (Cline)

Location: ~/Library/Application Support/Code/User/globalStorage/rooveterinaryinc.roo-cline/settings/cline_mcp_settings.json

{
  "mcpServers": {
    "linear-mcp": {
      "command": "node",
      "args": ["/path/to/linear-mcp/build/index.js"],
      "env": {
        "LINEAR_API_KEY": "your-api-key-here"
      },
      "disabled": false,
      "alwaysAllow": []
    }
  }
}

For Cursor (cursor.sh)

For Cursor, the server must be run with the full path:

node /Users/ibraheem/Projects/linear-mcp/build/index.js

Available Tools

create_issue

Creates a new issue in Linear.

{
  title: string;          // Required: Issue title
  description?: string;   // Optional: Issue description (markdown supported)
  teamId: string;        // Required: Team ID
  assigneeId?: string;   // Optional: Assignee user ID
  priority?: number;     // Optional: Priority (0-4)
  labels?: string[];     // Optional: Label IDs to apply
}

list_issues

Lists issues with optional filters.

{
  teamId?: string;      // Optional: Filter by team ID
  assigneeId?: string;  // Optional: Filter by assignee ID
  status?: string;      // Optional: Filter by status
  first?: number;       // Optional: Number of issues to return (default: 50)
}

update_issue

Updates an existing issue.

{
  issueId: string;       // Required: Issue ID
  title?: string;        // Optional: New title
  description?: string;  // Optional: New description
  status?: string;      // Optional: New status
  assigneeId?: string;  // Optional: New assignee ID
  priority?: number;    // Optional: New priority (0-4)
  labels?: string[];   // Optional: Label IDs to apply to the issue
}

list_teams

Lists all teams in the workspace. No parameters required.

list_projects

Lists all projects with optional filtering.

{
  teamId?: string;     // Optional: Filter by team ID
  first?: number;      // Optional: Number of projects to return (default: 50)
}

get_issue

Gets detailed information about a specific issue.

{
  issueId: string; // Required: Issue ID
}

Development

For development with auto-rebuild:

npm run watch

Error Handling

The server includes comprehensive error handling for:

  • Invalid API keys
  • Missing required parameters
  • Linear API errors
  • Invalid tool requests

All errors are properly formatted and returned with descriptive messages.

Technical Details

Built with:

  • TypeScript
  • Linear SDK (@linear/sdk v37.0.0)
  • MCP SDK (@modelcontextprotocol/sdk v0.6.0)

The server uses stdio for communication and implements the Model Context Protocol for seamless integration with AI agents.

License

MIT

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