Linear Issues▌

by keegancsmith
Linear Issues integrates with Linear to give you read-only access to issue details and comments without switching apps.
Integrates with Linear issue tracking to provide read-only access to issue details and comments without switching contexts.
best for
- / Developers reviewing issues during coding sessions
- / Project managers checking issue status quickly
- / Teams discussing Linear issues in AI conversations
capabilities
- / Fetch Linear issue details by URL or identifier
- / Retrieve complete issue information with all comments
- / Access Linear data without leaving your AI conversation
- / Query issue status and metadata
what it does
Provides read-only access to Linear issues and comments directly from your AI assistant without switching apps or browser tabs.
about
Linear Issues is a community-built MCP server published by keegancsmith that provides AI assistants with tools and capabilities via the Model Context Protocol. Linear Issues integrates with Linear to give you read-only access to issue details and comments without switching apps. It is categorized under productivity.
how to install
You can install Linear Issues in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Linear Issues is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
Linear Issues MCP Server
This is a simple MCP (Model Context Protocol) server that provides read-only access to Linear issues. It allows language models to fetch Linear issues and their associated data using a Linear API token.
Features
The server provides two tools:
linear_get_issue: Fetches basic details about a Linear issue by URL or identifierlinear_get_issue_with_comments: Fetches complete information about a Linear issue including all comments
Requirements
- Node.js
- A Linear API token or OAuth access token
Installation
No installation is needed if you use npx. Just make sure you have Node.js and npm installed.
Getting a Linear API Token
You can obtain a Linear API token in two ways:
-
API Key (simplest): Generate an API key in your Linear API settings
-
OAuth Token: For more advanced use cases or user-specific access
- Create an OAuth2 application in Linear
- Follow the OAuth flow to get a user access token
Usage with Claude for Desktop
To use this MCP server with Claude for Desktop:
-
Make sure you have your Linear API token ready
-
Add the server to your Claude for Desktop configuration at:
- MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json - Linux:
~/.config/Claude/claude_desktop_config.json - Windows:
%AppData%\Claude\claude_desktop_config.json
- MacOS:
Example configuration:
{
"mcpServers": {
"linear-issues": {
"command": "npx",
"args": ["-y", "@keegancsmith/linear-issues-mcp-server"],
"env": {
"LINEAR_API_TOKEN": "your_linear_api_token_here"
}
}
}
}
- Restart Claude for Desktop
Example Usage
Once the server is set up, you can use it in Claude to interact with Linear issues:
Can you get me the details for issue ENG-123?
Claude will use the linear_get_issue tool with your issue ID, accessing the token from environment variables.
What are all the comments on the issue at https://linear.app/company/issue/ENG-123/issue-title?
Claude can use linear_get_issue_with_comments to fetch the full issue details including comments.
License
MIT
FAQ
- What is the Linear Issues MCP server?
- Linear Issues is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Linear Issues?
- This profile displays 10 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Ratings
4.5★★★★★10 reviews- ★★★★★Shikha Mishra· Oct 10, 2024
Linear Issues is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Piyush G· Sep 9, 2024
We evaluated Linear Issues against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Chaitanya Patil· Aug 8, 2024
Useful MCP listing: Linear Issues is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Sakshi Patil· Jul 7, 2024
Linear Issues reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Ganesh Mohane· Jun 6, 2024
I recommend Linear Issues for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Oshnikdeep· May 5, 2024
Strong directory entry: Linear Issues surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- ★★★★★Dhruvi Jain· Apr 4, 2024
Linear Issues has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Rahul Santra· Mar 3, 2024
According to our notes, Linear Issues benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Pratham Ware· Feb 2, 2024
We wired Linear Issues into a staging workspace; the listing’s GitHub and npm pointers saved time versus hunting across READMEs.
- ★★★★★Yash Thakker· Jan 1, 2024
Linear Issues is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.