The Linear MCP Server enables programmatic interaction with Linear's API to manage issues, teams, and projects, facilitating integration with AI agents via the Model Context Protocol.
Issue Management: Create new issues with customizable properties (title, description, team, assignee, priority, labels), list issues with flexible filtering, update existing issues, retrieve specific issue details, and search issues with text queries.
Team Management: List all teams in the workspace with their IDs, names, keys, and descriptions.
Project Management: List all projects with optional team filtering, viewing details like name, description, and state.
Allows AI agents to manage issues, projects, and teams in Linear. Provides tools for creating, listing, and updating issues, as well as listing teams and projects through the Linear API.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Linear MCP Servercreate a new bug report for the mobile app team"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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
Related MCP server: Linear MCP Server
Prerequisites
Node.js (v16 or higher)
A Linear account with API access
Linear API key with appropriate permissions
Quick Start
Get your Linear API key from Linear's Developer Settings
Run with your API key:
LINEAR_API_KEY=your-api-key npx @ibraheem4/linear-mcpOr set it in your environment:
export LINEAR_API_KEY=your-api-key
npx @ibraheem4/linear-mcpDevelopment Setup
Clone the repository:
git clone [repository-url]
cd linear-mcpInstall dependencies:
npm installBuild the project:
npm run buildRunning with Inspector
For local development and debugging, you can use the MCP Inspector:
Install supergateway:
npm install -g supergatewayUse the included
run.shscript:
chmod +x run.sh
LINEAR_API_KEY=your-api-key ./run.shAccess 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.jsonWindows:
%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.jsAvailable 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 watchError 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
Resources
Looking for Admin?
Admins can modify the Dockerfile, update the server description, and track usage metrics. If you are the server author, to access the admin panel.