Manage Linear issues via AI with n8n and LangChain

This workflow enables an AI agent to perform full CRUD operations on Linear issues through an MCP server built on n8n and integrated with LangChain. It allows seamless integration of Linear with AI assistants for voice or text-based task management without manual input.

## Who it´s for
- Developers using Linear who want to connect AI assistants for task creation and tracking.
- DevOps teams automating incident handling via chatbots.
- Project managers leveraging AI for quick task management via voice or text commands.

## What the automation does
- Exposes Linear CRUD operations (create, read, update, delete issues) as AI tools.
- Routes all actions through a centralized trigger activated by the AI agent.
- Enables issue creation via natural language like "Create a task about deployment check".
- Supports issue deletion by ID (e.g., "Delete issue LNR-123").
- Retrieves lists of open issues per project on request.
- Automatically updates issue status after a command in chat.

## What´s included
- Ready-to-use n8n workflow.
- Centralized trigger and handler logic for each operation type.
- Integrations only with Linear, n8n, LangChain, and MCP Server.
- Basic textual guide for setup and adaptation.

## Requirements for setup
- n8n account (cloud or self-hosted).
- Linear account with API access and valid token.
- Configured LangChain MCP server capable of receiving and routing tool calls.
- Basic understanding of AI agents and tool calling mechanisms.

## Benefits and outcomes
- Reduces time spent on creating and updating tasks in Linear.
- Eliminates context switching between interfaces.
- Enables full voice/text AI integration.
- Improves execution accuracy through automated command parsing.
- Offers scalability by adding new AI tools as needed.

## Important: template only
Important: you are purchasing a ready-made automation workflow template only. Rollout into your infrastructure, connecting specific accounts and services, 1:1 setup help, custom adjustments for non-standard stacks and any consulting support are provided as a separate paid service at an individual rate. To discuss custom work or 1:1 help, contact via Telegram: @gleb923.