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linear-mcp

MCP.Pizza Chef: ibraheem4

The linear-mcp is an MCP server that integrates with the Linear platform, enabling AI agents to programmatically manage issues, projects, and teams. It offers comprehensive features such as creating, listing, and updating issues with customizable properties, managing teams by listing and accessing details, and handling projects with filtering options. This server facilitates seamless automation and interaction with Linear's API, streamlining project management workflows through AI-driven tools.

Use This MCP server To

Create and update issues on Linear programmatically List and filter issues by team, assignee, or status Manage team details and retrieve team information List projects with optional team-based filtering Automate project and issue tracking within Linear Integrate Linear issue management into AI workflows

README

Linear MCP Server

Note: This is a custom implementation. For the official Cline Linear MCP server, see cline/linear-mcp.

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

linear-mcp FAQ

How do I authenticate the linear-mcp server with my Linear workspace?
You authenticate by providing an API token from your Linear account, enabling secure access to your workspace data.
Can I customize issue properties when creating issues through linear-mcp?
Yes, you can set title, description, team, assignee, priority, and labels when creating issues.
Does linear-mcp support updating issue status and assignee?
Yes, it allows updating issue status, assignee, title, description, and priority.
How does linear-mcp handle team management?
It provides endpoints to list all teams and access detailed information like team ID, name, key, and description.
Can I filter projects by team using linear-mcp?
Yes, the server supports listing projects with optional filtering by team.
Is linear-mcp compatible with multiple LLM providers?
Yes, it is designed to work with various LLMs including OpenAI, Claude, and Gemini for AI-driven workflows.
What kind of AI agents can benefit from linear-mcp?
Any AI agent needing to automate or manage project workflows, issue tracking, or team coordination on Linear can use this server.
How do I get started with linear-mcp?
Start by setting up your Linear API token and configuring the MCP server to connect your AI agent to your Linear workspace.