About
MCP Linear implements the Model Context Protocol for the Linear GraphQL API, allowing AI assistants to retrieve and manipulate issues, projects, teams, comments, and more within Linear.
Capabilities
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MCP Linear is a Model Context Protocol server that bridges the gap between AI assistants and the Linear project‑management platform. By exposing Linear’s GraphQL API through MCP, developers can let AI agents read and modify issues, projects, teams, and comments directly from within their conversational workflows. This eliminates the need to switch between a browser or CLI, enabling a seamless “chat‑to‑action” experience for project teams.
The server offers a rich set of capabilities that mirror the core actions available in Linear’s UI. An AI assistant can query all issues, filter by status or assignee, and list projects or teams. It can also create new issues with titles, descriptions, and team assignments; update existing issues by changing their status or priority; assign tasks to teammates; and add comments that trigger notifications. These operations are performed through MCP tools, allowing the assistant to ask natural‑language questions and receive structured responses that can be acted upon automatically.
For developers, MCP Linear unlocks several practical use cases. In a sprint planning session, an AI can pull the current backlog and suggest prioritization based on velocity data. During a stand‑up, it can report the status of all tickets assigned to an engineer and flag blockers. When a bug is reported via email or chat, the assistant can create a Linear issue instantly and notify the relevant team. Because MCP servers run locally or in the cloud, they can be integrated into existing AI workflows on platforms like Cursor, Claude Desktop, or any custom client that supports MCP.
What sets MCP Linear apart is its tight coupling to Linear’s GraphQL schema, ensuring that every field and mutation is available without custom adapters. The server also supports token‑based authentication, so it can run with the same permissions as a user’s personal API key. This means that an assistant inherits the same access controls and audit logs as manual edits, providing both security and traceability. In short, MCP Linear turns a powerful project‑management tool into an AI‑friendly data source and action engine, streamlining collaboration and reducing context switching for modern software teams.
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