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tacticlaunch/mcp-linear

by Various

MCP server that enables AI assistants to interact with Linear project management system through natural language, allowing users to retrieve, create, and update issues, projects, a

T

MCP

tacticlaunch/mcp-linear

Added 1 June 2026

#claude #cursor #linear #mcp

Overview

An MCP server that lets AI assistants read and write Linear project data via natural language. Built in TypeScript, it exposes Linear's issues, projects, and teams as tools the assistant can call.

Best for

Best for
Developers who want to manage Linear tasks from an AI chat interface

Use cases

  • Ask an AI to create a Linear issue from a chat message
  • Retrieve and summarize project status or team workload
  • Update issue priority or assignee through conversation

How to use

Install

npx add-mcp @tacticlaunch/mcp-linear --env LINEAR_API_TOKEN=YOUR_LINEAR_API_TOKEN

Tested with

Claude Desktop, Claude Code, Cursor, VS Code

Example client config

{\n  "mcpServers": {\n    "linear": {\n      "command": "npx",\n      "args": ["-y", "@tacticlaunch/mcp-linear"],\n      "env": {\n        "LINEAR_API_TOKEN": "<YOUR_TOKEN>"\n      }\n    }\n  }\n}

Notes

An MCP server that lets AI assistants read and write Linear project data via natural language. Built in TypeScript, it exposes Linear’s issues, projects, and teams as tools the assistant can call.

135 stars on GitHub. Last updated 2026-05-03. Licensed MIT.

Use cases

  • Ask an AI to create a Linear issue from a chat message
  • Retrieve and summarize project status or team workload
  • Update issue priority or assignee through conversation

Pros

  • Direct natural language interface to Linear without manual clicks
  • Open source with 135 stars and active TypeScript codebase
  • Covers core Linear objects: issues, projects, teams

Cons

  • Requires running an MCP server and configuring the AI client
  • Limited to Linear’s public API capabilities
  • No built-in authentication or access control beyond Linear’s API key

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

Pros

  • Direct natural language interface to Linear without manual clicks
  • Open source with 135 stars and active TypeScript codebase
  • Covers core Linear objects: issues, projects, teams

Cons

  • Requires running an MCP server and configuring the AI client
  • Limited to Linear's public API capabilities
  • No built-in authentication or access control beyond Linear's API key
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