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Linear Remote MCP Server

MCP Server

Grant OAuth 2.0 access to Linear and manage issues from MCP

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Updated 22 days ago

About

The Linear Remote MCP Server enables secure OAuth 2.0 authentication to the Linear platform, allowing users to create, update, and list issues directly from their MCP client without using API keys.

Capabilities

Resources
Access data sources
Tools
Execute functions
Prompts
Pre-built templates
Sampling
AI model interactions

Linear Remote MCP Server in Action

Linear Remote MCP is a lightweight, OAuth‑driven bridge that lets AI assistants interact with Linear’s issue tracking system directly from the MCP client. Instead of exposing a raw API key or building custom webhooks, this server implements the standard OAuth 2.0 flow, ensuring that user credentials remain secure and compliant with Linear’s authentication policies. Once authenticated, the MCP client can create, update, or list issues in real time, enabling a seamless AI‑powered workflow for product managers and developers.

The server’s core value lies in its “issue as a first‑class resource” abstraction. By exposing Linear issues through the MCP protocol, developers can treat them like any other data source—querying with prompts, manipulating fields, and retrieving status updates—all without leaving the AI environment. This eliminates context switching between a chatbot and a separate issue tracker, streamlining decision‑making and reducing friction in agile pipelines.

Key capabilities include:

  • Secure OAuth 2.0 integration: Users grant granular permissions, and tokens are refreshed automatically.
  • CRUD operations on issues: Create new tickets, modify existing ones, and fetch lists filtered by project or status.
  • Rich field mapping: Map Linear fields (title, description, priority) to MCP prompts for natural language manipulation.
  • Real‑time feedback: Changes made in Linear appear instantly in the MCP client, keeping all stakeholders aligned.

Typical use cases span from automated sprint planning—where an assistant drafts and assigns issues based on user stories—to continuous improvement loops, where the AI summarizes bug reports and suggests priority adjustments. In larger organizations, Linear Remote MCP can serve as a central hub that pulls data from multiple tools (e.g., GitHub, Jira) and pushes consolidated insights back to Linear, all orchestrated through the MCP client.

What sets this server apart is its commitment to security and simplicity. By leveraging OAuth rather than legacy API keys, it aligns with modern authentication standards, reducing the attack surface. Additionally, its minimalistic design means developers can integrate it into existing MCP ecosystems with zero code changes—just point the client to the server’s URL and start issuing natural‑language commands. This makes Linear Remote MCP an indispensable component for any AI‑enhanced product development workflow that relies on Linear as its primary issue tracker.