Linear
A Linear integration server based on the MCP protocol for AI assistants to obtain Linear to - do item data
2 points
9.7K

What is the Linear MCP Server?

The Linear MCP Server is a tool based on the Model Context Protocol (MCP) standard that allows AI assistants to access data in the Linear platform via API, such as the user's to - do list.

How to use the Linear MCP Server?

Users can add this server through the command - line tool and use specific query parameters to get the to - do items of a specified user.

Applicable Scenarios

Suitable for task management scenarios where quick viewing of personal task lists or team collaboration is required.

Main Features

Get To - Do Items
Retrieve a user's to - do items on the Linear platform based on the user ID or email address.
Advantages
Supports multiple authentication methods (e.g., user ID and email)
Easy to integrate into existing AI assistant systems
Real - time synchronization of to - do item status
Limitations
Requires a valid Linear API key to run
May have performance limitations for large - scale data processing

How to Use

Install the Server
Clone the repository and install the dependencies.
Configure Environment Variables
Create a.env file and fill in your Linear API key.
Start Development Mode
Run the development server for hot reloading.

Usage Examples

Example 1: Get Personal Task List
Query the to - do items of the currently logged - in user.
Example 2: Team Collaboration Task Management
Administrators can query the task status of team members.

Frequently Asked Questions

How to get a Linear API key?
Why is my request not returning any results?

Related Resources

Linear Developer Documentation
Official documentation to learn about API interface details.
GitHub Repository
Project source code and contribution guidelines.
Claude Code Official Website
Introduction and usage instructions for Claude Code.

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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