remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
Integrations
Provides tools for searching, reading, updating, and commenting on issues in Linear's issue tracking system.
Linear MCP Server
A Node.js implementation of an MCP server for Linear integration.
About
This MCP (Model Context Protocol) server provides a standardized interface for AI models to interact with Linear issue tracking functionality.
Key Features
- Standard MCP protocol implementation for Linear using the official MCP SDK
- Support for searching issues, reading details, updating, and commenting
Getting Started
Prerequisites
- Node.js (v18 or later)
- Linear API key
Installation
- Clone the repository
- Install dependencies
- Create a
.env
file in the root directory with your Linear API key
Running the Server
Start the server:
For development with file watching:
For development with debug logging:
Or set environment variables manually:
Logs will be written to the logs/mcp-linear.log
file to avoid interfering with the STDIO transport.
Using with MCP Inspector
The server runs in stdio mode, which means you can connect to it with the MCP Inspector.
- Start the server in one terminal:
- Visit the web-based inspector at: https://inspector.modelcontextprotocol.ai
- Select "stdio" as the transport type
- Enter the following command:
- Click "Connect" to connect to your running server
Usage with Claude Desktop
Add the following to your Claude Desktop configuration file (typically at
~/.config/Claude Desktop/claude_desktop_config.json
):
Usage with Cursor
For Cursor, add the following to your settings:
Testing Your Integration
To verify your setup:
- Configure the MCP server in your Claude Desktop or Cursor settings
- Restart your application
- Ask: "Search for Linear issues containing 'bug'"
- The assistant should detect and use the Linear MCP server to retrieve results
Project Structure
Available Tools
The MCP server exposes the following tools:
list_issues
- List Linear issues (also called tickets) with various filtering options (assignee, status, etc.)get_issue
- Get detailed information about a specific Linear issue by IDlist_members
- List Linear team members with optional filtering by namelist_projects
- List Linear projects with optional filtering by team, name, and archive statusget_project
- Get detailed information about a specific Linear project including issues, members and morelist_teams
- List Linear teams with details about their members, projects, and issuesadd_comment
- Add a comment to a specific Linear issuecreate_issue
- Create a new issue in Linear with customizable title, description, priority, and assignee
For backward compatibility, the following tool aliases are also available:
list_tickets
- Alias forlist_issues
get_ticket
- Alias forget_issue
Troubleshooting
If you're having issues with the Linear MCP server:
- Check your Linear API key: Make sure you've set a valid Linear API key in your .env file or environment variables. Linear API keys should start with "linapi".
- Enable debug logging:a. When starting the MCP server:b. In your client configuration (Claude Desktop, Cursor, etc.):Copyc. When calling tools directly, add the debug parameter:CopyCopy
- Check log files: Examine logs in the
logs/mcp-linear.log
file for detailed error information. - Verify Linear API access: Make sure your Linear API key has appropriate permissions and that you can access the Linear API directly.
Architecture
The application follows an effects-based architecture:
- Effects: Side-effecting operations are isolated in the
effects
directory:linear
: Provides access to Linear API using the official Linear SDKlogging
: Safe logging that doesn't interfere with STDIO transport
- Tools: MCP tool implementations that use effects for side-effects:
- Each tool follows a consistent pattern with input validation using Zod
- Tools are exposed through the MCP protocol via the server
- Each tool can access the Linear client through the linear effect
- Utils: Utility modules for configuration and common functionality
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
This project is licensed under the MIT License - see the LICENSE file for details.
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A Deno implementation that enables AI models to interact with Linear issue tracking functionality, supporting searching issues, reading details, updating, and commenting.