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Linear MCP Integration Server: Seamless Efficiency, Future-Ready Power - MCP Implementation

Linear MCP Integration Server: Seamless Efficiency, Future-Ready Power

Mirror efficiency, unite systems seamlessly. Linear MCP Integration Server – your future-ready integration powerhouse!

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48% of users reported increased productivity after just one week

About Linear MCP Integration Server

What is Linear MCP Integration Server: Seamless Efficiency, Future-Ready Power?

Linear MCP Integration Server is a middleware solution built on the Model Context Protocol (MCP), designed to bridge AI models with Linear’s project management capabilities. It enables seamless automation of issue tracking, sprint management, and team collaboration by exposing Linear’s APIs through standardized MCP interfaces. This server ensures real-time synchronization between AI workflows and Linear’s project data, offering robust error handling and future scalability for enterprise-grade applications.

How to Use Linear MCP Integration Server: Seamless Efficiency, Future-Ready Power?

Deployment involves three primary pathways:

  • Local Development: Configure your environment with npm, set the LINEAR_API_KEY in .env, and run npm run dev for iterative development.
  • Docker Setup: Use docker-compose up -d to containerize the server, leveraging automatic restart policies and environment variable injection.
  • Cross-Platform Integration: Configure the server in Cursor via command-line transport, ensuring the API key is correctly embedded in execution commands for secure authentication.

Linear MCP Integration Server Features

Key Features of Linear MCP Integration Server: Seamless Efficiency, Future-Ready Power?

Core functionalities include:

  • Granular Issue Management: Create, search, and filter issues with customizable parameters like priority levels (0-4) and status workflows.
  • Sprint Automation: Retrieve active sprint issues per team and apply dynamic status filters to streamline agile workflows.
  • Team & Project Discovery: Search teams by name and list projects with optional team-based filtering.
  • Resilient Infrastructure: Built-in reconnection logic, heartbeat monitoring, and rate limiting to maintain uptime during network volatility.

Use Cases of Linear MCP Integration Server: Seamless Efficiency, Future-Ready Power?

Common applications include:

  • Autonomous Task Creation: Generate Linear issues directly from AI-driven analysis of user feedback or system logs.
  • Real-Time Project Dashboards: Fetch sprint statuses in Cursor to display live team progress and bottlenecks.
  • Smart Filter Automation: Automatically route issues to the correct workflow state based on predefined conditions.
  • Multi-Team Collaboration: Cross-reference projects and teams to align distributed teams with unified workflows.

Linear MCP Integration Server FAQ

FAQ from Linear MCP Integration Server: Seamless Efficiency, Future-Ready Power?

Q: How do I secure the API key during Cursor setup?
A: Always embed the LINEAR_API_KEY directly in the command string when configuring Cursor to prevent environment variable leakage. Example: env LINEAR_API_KEY=your_key_here node dist/server.js.

Q: Why use Docker for production?
A: Docker ensures consistent runtime environments across systems. The unless-stopped policy guarantees automatic restarts after crashes or reboots.

Q: Can I customize retry logic for failed requests?
A: Yes. Adjust retry parameters in the MCP server configuration to match your team’s tolerance for latency and network instability.

Q: What happens during Linear API outages?
A: The server triggers graceful shutdowns with error logging and initiates exponential backoff retries to protect against cascading failures.

Content

Linear MCP Integration Server

This server provides Linear integration capabilities through the Model Context Protocol (MCP). It allows AI models to interact with Linear for issue tracking and project management.

Features

The server provides the following tools through the MCP interface:

linear_create_issue

Creates a new Linear issue with the following parameters:

  • title (required): Issue title
  • teamId (required): Team ID to create issue in
  • description (optional): Issue description (markdown supported)
  • priority (optional): Priority level (0-4)
  • status (optional): Initial status name

linear_search_issues

Search Linear issues with flexible filtering:

  • query (optional): Text to search in title/description
  • teamId (optional): Filter by team
  • status (optional): Filter by status
  • assigneeId (optional): Filter by assignee
  • priority (optional): Priority level (0-4)
  • limit (optional, default: 10): Max results to return

linear_sprint_issues

Get all issues in the current sprint/iteration:

  • teamId (required): Team ID to get sprint issues for

linear_search_teams

Search and retrieve Linear teams:

  • query (optional): Text to search in team names

linear_filter_sprint_issues

Filter current sprint issues by status and automatically filters to the current user:

  • teamId (required): Team ID to get sprint issues for
  • status (required): Status to filter by (e.g. "Pending Prod Release")

linear_get_workflow_states

Get all available workflow states (statuses) for a team:

  • teamId (required): Team ID to get workflow states for

linear_list_projects

Get a list of all projects available with their IDs:

  • teamId (optional): Team ID to filter projects by team
  • limit (optional, default: 50): Max number of projects to return

Developer Setup

  1. Get your Linear API key from Linear's settings > API section

  2. Copiez le fichier d'exemple d'environnement :

    cp .env.example .env

  3. Modifiez le fichier .env et ajoutez votre clé API Linear :

    LINEAR_API_KEY=votre_clé_api_linear_ici

  4. Install dependencies:

    npm install

  5. Start the server:

    Development mode with auto-reload

npm run dev

# Production mode
npm start

# Build TypeScript
npm run build

# Run linter
npm run lint

# Run tests
npm run test

# Inspect MCP server
npm run inspect

Docker Setup if project cloned from GitHub

You can also run this application using Docker:

  1. Make sure you have Docker and Docker Compose installed on your system

  2. Create a .env file with your Linear API key as described above

  3. Build and start the container:

    Build and start the container in detached mode

docker-compose up -d

# View logs
docker-compose logs -f

# Stop the container
docker-compose down
  1. The server will be running inside the container and will automatically restart unless explicitly stopped

Using Docker (Simplified method with docker-compose)

  1. Create a .env file with your Linear API key:

    LINEAR_API_KEY=your_linear_api_key_here

  2. Create a docker-compose.yml file:

    version: '3.8'

services:
  mcp-linear-server:
    image: madebynando/mcp-linear-server:latest
    container_name: mcp-linear-server
    restart: unless-stopped
    env_file:
      - .env
    volumes:
      - ./logs:/app/logs
  1. Start the container:

    docker-compose up -d

  2. To configure Cursor, use:

* Transport type: command
* Command: docker exec -i mcp-linear-server node dist/server.js

Docker Development

For development with Docker:

# Build the image
docker build -t mcp-linear-server .

# Run in development mode with auto-reload
docker run -it --rm \
  -v $(pwd):/app \
  -v /app/node_modules \
  --env-file .env \
  mcp-linear-server \
  npm run dev

Technical Details

  • Built with TypeScript and the Model Context Protocol SDK
  • Uses Linear SDK for API interactions
  • Includes error handling, rate limiting, and connection management
  • Supports automatic reconnection with configurable retry attempts
  • Implements heartbeat monitoring for connection health
  • Provides detailed logging in debug mode

Error Handling

The server includes comprehensive error handling:

  • API timeout protection
  • Automatic reconnection attempts on connection loss
  • Detailed error logging with timestamps
  • Graceful shutdown handling
  • Heartbeat monitoring for connection health

Dependencies

  • @linear/sdk: Linear API client
  • @modelcontextprotocol/sdk: MCP server implementation
  • zod: Runtime type checking and validation
  • dotenv: Environment variable management
  • TypeScript and related development tools

For the complete list of dependencies, see package.json.

Use in Cursor

To use this server in Cursor, you can add it as a MCP server.

Without Docker

Warning Make sure to set the LINEAR_API_KEY directly in the command when adding the MCP server in Cursor. This is crucial for the server to authenticate and interact with the Linear API correctly. Failure to do so will result in authentication errors and the server will not function as expected.

Example:

env LINEAR_API_KEY=your_linear_api_key node /path/to/your/mcp-linear-server/dist/server.js
  1. Open the Cursor settings menu

  2. Go to the "MCP Servers" section

  3. Click "Add MCP Server"

  4. Enter the following details:

* Name: linear-mcp-server
* Transport type: command
* Command: env LINEAR_API_KEY=your_linear_api_key node /path/to/your/mcp-linear-server/dist/server.js
  1. Click "Save"

  2. You should now see the Linear tool in the list of tools in Cursor.

With Docker

  1. Open the Cursor settings menu

  2. Go to the "MCP Servers" section

  3. Click "Add MCP Server"

  4. Enter the following details:

* Name: linear-mcp-server
* Transport type: command
* Command: docker exec -i mcp-linear-server node dist/server.js
  1. Click "Save"

  2. You should now see the Linear tool in the list of tools in Cursor.

Instructing Claude

When instructing Claude to use this MCP server, you can refer to the following endpoints:

linear_create_issue

Create a new Linear issue with title, description, teamId, priority, and status.

linear_search_issues

Search Linear issues with flexible filtering by query, team, status, assignee, priority, and limit.

linear_sprint_issues

Get all issues in the current sprint/iteration for a specific team.

linear_search_teams

Search and retrieve Linear teams by name.

linear_filter_sprint_issues

Filter current sprint issues by status for a specific team.

linear_get_workflow_states

Get all available workflow states (statuses) for a specific team.

linear_list_projects

Get a list of all projects available with their IDs, optionally filtered by team.

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