Productivity Updated May 2025

Linear MCP

Create issues, manage projects, and track work in Linear from your AI assistant.

55 /100
Growing Based on GitHub stars

Quick Overview

Everything you need to know about Linear MCP

Best For

  • Automate repetitive tasks
  • Project management
  • Team collaboration

Requirements

  • Node.js 18+ or Bun

Quick Start

  1. 1Install via npx or bun
  2. 2Add to your MCP config
  3. 3Restart your AI assistant
  4. 4Start using 0 tool

How good is this MCP?

Our scoring algorithm analyzes multiple dimensions to help you make informed decisions.

38 /100
Fair

Score Breakdown by Dimension

This is a simplified score based on publicly available data. Full scoring with all 5 dimensions coming soon!

Adoption How popular and trusted is this MCP?
51

Based on 340 GitHub stars

Activity Is this project actively maintained?
20

Last updated 300 days ago

Deterministic Scoring Based on real data from GitHub, npm, and MCP manifests. Same input = same score.
Coming Soon

More insights on the way

Trend Analysis Track how the score evolves over time
Percentile Ranking See where this MCP ranks among all servers
Compare MCPs Side-by-side comparison of similar servers

What can this MCP do?

Explore the 0 tools available in Linear MCP

Tool Discovery Pending

We haven't indexed the tools for this MCP yet. This usually means:

  • The MCP manifest isn't published or is in a custom format
  • Tools are dynamically generated at runtime
  • The repository was recently added to our catalog
Check the GitHub Repository

Get Started in Seconds

Add Linear MCP to your AI coding assistant

4 Compatible IDEs
npx One-command install
1 Required secret
Choose your IDE:
Config file location ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json
JSON
{
  "mcpServers": {
    "linear-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@linear/mcp-server"
      ],
      "env": {
        "LINEAR_API_KEY": "your_linear_api_key"
      }
    }
  }
}
Environment Variables Required These secrets are needed for the MCP to work
  • LINEAR_API_KEY Replace your_linear_api_key with your actual value
1 Save the configuration file
2 Restart Claude Desktop
Ready to use!

Try It Out

Copy these prompts to get started with Linear MCP

How to use these prompts

Open your AI assistant with Linear MCP enabled, paste any prompt below, and watch the magic happen.

3 official examples
Workflows

Use Cases

Common workflows and scenarios for Productivity MCPs

01

Task Management

Create, update, and complete tasks without switching apps.

Add a task to review the PR by Friday
02

Note Taking

Capture ideas and notes directly into your knowledge base.

Save these meeting notes to my Work notebook
03

Project Tracking

Update project status and track progress conversationally.

What's the status of the Q1 roadmap?
04

Knowledge Search

Find information across your notes and documents.

Find my notes about the architecture decision
05

Daily Planning

Review and plan your day with AI assistance.

What are my tasks for today?

Why use Productivity MCPs?

Key advantages of integrating Linear MCP with your AI assistant

1

Unified Interface

Manage multiple productivity tools from one place.

2

Natural Input

Create tasks and notes in plain language.

3

Context Aware

AI understands your projects and priorities.

4

Quick Capture

Capture ideas instantly without app switching.

Example Prompts — Linear MCP
4 prompts

Important Considerations

  • Test with non-critical data first to understand the MCP behavior
  • Some operations may not be reversible (like task deletion)
  • API rate limits may affect bulk operations
Tools

Common Tool Patterns

Typical tools found in Productivity MCPs

create_task write

Create a new task with due date and priority

list_tasks read

List tasks with filters

search_notes read

Search across notes and documents

create_page write

Create a new page or document

update_status write

Update task or project status

Works great with

Technologies commonly used with Linear MCP

Frequently Asked Questions