Linear MCP Server

Linear MCP Server is a Model Context Protocol implementation that exposes the full breadth of Linear’s GraphQL API to AI assistants such as Claude. By acting as a bridge, the server lets an assistant read and manipulate project‑management data—issues, projects, teams, labels, and comments—directly from within a conversational workflow. This removes the need for developers to write custom integrations or manually export data, enabling instant, programmatic access to Linear from any MCP‑enabled client.

The server authenticates with a simple API key, sidestepping the complexities of OAuth while still providing secure access to a user’s Linear workspace. Once connected, an assistant can query for all open issues in a project, create new tickets on the fly, update statuses, assign teammates, add or remove labels, and even comment with contextual information. The breadth of available tools mirrors Linear’s GraphQL schema, giving developers the flexibility to construct precise queries or mutations and receive structured responses that can be fed back into the assistant’s reasoning.

Key capabilities include:

• Data retrieval: Pull users, teams, projects, and issues with fine‑grained filters.
• Issue lifecycle management: Create, update, close, or reopen issues; modify titles, descriptions, and priorities.
• Comment handling: Add or edit comments, optionally tagging teammates for visibility.
• Label and project manipulation: Attach or detach labels and create new projects to organize workspaces.
• Rich documentation: A comprehensive tools list details every available operation and its parameters, making it straightforward to compose new MCP calls.

In real‑world scenarios, Linear MCP Server empowers product managers and developers to ask an AI assistant questions like “What are the top three blockers for the backend team?” and receive a curated list of issues, or to instruct the assistant to “Create a new feature ticket for the UI redesign and assign it to Alice.” The assistant can then confirm creation, add a detailed description, and set appropriate labels—all without leaving the chat interface. This tight integration reduces context switching, speeds up task creation, and ensures that data remains consistent across Linear and the AI workflow.

Because it follows the MCP standard, the server integrates seamlessly with any client that supports the protocol. Developers can add it to Claude Desktop, VSCode extensions, or GoMCP with a single configuration entry. The server’s lightweight design means it can run locally as a child process, keeping sensitive tokens out of the network and preserving privacy. Its GraphQL‑based approach also allows for efficient, batched requests, minimizing latency and bandwidth usage.

Overall, Linear MCP Server delivers a powerful, developer‑friendly conduit between AI assistants and Linear’s project management ecosystem. It turns conversational commands into real actions within Linear, enabling smarter, faster workflows that keep teams aligned and productive.