Linear
by Linear
MCP server for Linear β enables Claude to interact with Linear data and workflows.
β β
GitHub stars
What it does
Linear MCP server for Claude integration. Enables AI assistants to interact with Linear data and workflows.
About
Linear is an official MCP server included in Anthropic's knowledge-work-plugins repository. It enables Claude to interact with Linear through the Model Context Protocol. Protocol: HTTP. Endpoint: https://mcp.linear.app/mcp. Used in plugins: design, engineering, product-management, productivity.
How to install
Add the following to your .mcp.json file to connect Claude to Linear. No local installation required β this is a remote HTTP server.
License
Proprietary
Linear is a proprietary service. Usage is subject to Linear's terms of service.
Readme
README content is unavailable from source data for this server.
Open GitHub repository βFrequently Asked Questions
- What is the Linear MCP server?
- Linear 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 bothβskills 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?
- This profile displays 49 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5βverify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research β Summarize β Create document β Send notification
Complete complex tasks end-to-end without manual steps
Build agents that actually work
Hands-on bootcamps on MCP, tool use, and multi-agent architectures β taught by practitioners.
Discussion
Comments β not star reviews- No comments yet β start the thread.
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Ratings
4.6β β β β β 49 reviews- β β β β β Diya LiuΒ· Dec 28, 2024
Linear has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- β β β β β Pratham WareΒ· Dec 8, 2024
Useful MCP listing: Linear is the kind of server we cite when onboarding engineers to host + tool permissions.
- β β β β β Sofia TandonΒ· Dec 8, 2024
According to our notes, Linear benefits from clear Model Context Protocol framing β fewer ambiguous βAI pluginβ claims.
- β β β β β Ira IyerΒ· Dec 4, 2024
Linear is a well-scoped MCP server in the explainx.ai directory β install snippets and categories matched our Claude Code setup.
- β β β β β Dev SanchezΒ· Nov 27, 2024
Linear has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- β β β β β Luis SharmaΒ· Nov 19, 2024
According to our notes, Linear benefits from clear Model Context Protocol framing β fewer ambiguous βAI pluginβ claims.
- β β β β β Sofia BrownΒ· Oct 18, 2024
We evaluated Linear against two servers with overlapping tools; this profile had the clearer scope statement.
- β β β β β Luis HaddadΒ· Oct 10, 2024
We wired Linear into a staging workspace; the listingβs GitHub and npm pointers saved time versus hunting across READMEs.
- β β β β β Sakshi PatilΒ· Sep 25, 2024
We evaluated Linear against two servers with overlapping tools; this profile had the clearer scope statement.
- β β β β β Mateo TandonΒ· Sep 25, 2024
Linear is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
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