mcpField
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Linear MCP Server

Linear MCP Server

Local
github.com/tiovikramVersion Control4Updated 86w ago

About Linear MCP Server

Linear MCP Server lets AI agents manage Linear issues, teams, and projects through Linear's API. It combines issue creation, filtering, updates, and project lookups in one MCP server.

Key features

  1. 01Create and update issues
  2. 02Filter and retrieve issues
  3. 03List workspace teams
  4. 04Browse projects by team
  5. 05Retrieve issue details

Use cases

  1. 01Create or revise Linear issues from an agent
  2. 02Find issues by team, assignee, or status
  3. 03Check team and project information

MCP support

It exposes tools to MCP clients for creating, listing, updating, and retrieving Linear issues, as well as listing teams and projects.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"linear-mcp-tiovikram": {
"command": "npx",
"args": [
"-y",
"@ibraheem4/linear-mcp"
],
"env": {
"LINEAR_API_KEY": "<LINEAR_API_KEY>"
}
}
}
}
Run commandnpx -y @ibraheem4/linear-mcp
Environment variables to set
LINEAR_API_KEYSecret

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npm@ibraheem4/linear-mcp

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project 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)
}
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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.