Stop Context-Switching Between Your AI Assistant and Linear

You're deep in a coding session with Claude or Cursor, discussing architecture decisions and debugging approaches. Then you need to create a Linear issue, check task status, or assign work to teammates. Context lost. Flow broken. Tab switching to Linear, manual issue creation, back to your AI chat.

MCP Linear eliminates this workflow friction entirely.

The Real Problem: AI Tools and Project Management Don't Talk

Your AI assistant knows your codebase, understands your technical challenges, and helps you think through solutions. But the moment project management enters the conversation, you're back to manual Linear operations. Creating issues based on AI suggestions? Copy-paste. Updating task status after AI-assisted debugging? Tab switching. Assigning follow-up work discussed with your AI? More manual steps.

This MCP server bridges that gap. Your AI assistant becomes Linear-native.

What You Get: Natural Language Linear Management

Stop treating Linear like a separate tool. Talk to it through your AI assistant:

"Create a Linear issue: 'Refactor authentication middleware' 
- assign to backend team
- add to Q2 security project  
- priority high due to the vulnerabilities we just discussed"

Your AI assistant handles the Linear API calls, creates the issue with proper team assignment and project linking, then continues the technical conversation without missing a beat.

Real scenarios where this transforms your workflow:

• Code review discussions: "Create issues for the three refactoring tasks we identified" - done instantly while maintaining conversation context
• Debugging sessions: "Update the bug ticket FE-123 - root cause was the race condition in useEffect, fixed in commit abc123"
• Sprint planning: "Show me all backend issues for this sprint, then create follow-up tasks for the performance optimization we discussed"
• Architecture decisions: "Document this database design decision in Linear project ARCH-2024"

Technical Implementation That Just Works

Built on Linear's GraphQL API with full MCP protocol compliance. The server handles authentication, rate limiting, and error handling - you focus on productivity gains.

Full Linear API coverage:

• Issues: create, read, update, list with filtering
• Projects: full CRUD operations
• Teams: management and assignment
• Comments and status updates
• Labels and priority management

Installation is one command:

npx -y @smithery/cli install @tacticlaunch/mcp-linear --client cursor

Add your Linear API token to environment variables. Done.

Integration: Fits Your Existing Workflow

Whether you're using Cursor, Claude Desktop, or other MCP-compatible tools, mcp-linear plugs in seamlessly. No workflow changes required - just enhanced capabilities.

The server runs locally, talks to Linear's API on your behalf, and exposes Linear functionality through the MCP protocol. Your AI assistant gains Linear superpowers while you maintain full control over authentication and permissions.

Configuration example:

{
  "mcpServers": {
    "linear": {
      "command": "npx",
      "args": ["-y", "@tacticlaunch/mcp-linear"],
      "env": {
        "LINEAR_API_TOKEN": "your_token_here"
      }
    }
  }
}

Why This Belongs in Your Toolkit

You already use AI assistants for code review, architecture discussions, and technical problem-solving. Adding Linear integration means those conversations naturally extend into project execution without context switching.

Instead of AI conversations ending with "now go create those Linear issues," they continue with "I've created those issues and assigned them to the appropriate teams."

The result: faster project execution, better documentation of AI-assisted decisions, and workflow continuity that keeps you in the zone.

84 stars and growing adoption show developers are solving this exact problem. Try it for a week - you won't go back to manual Linear management during AI conversations.