About
Mo is an MCP server that lets developers create, update, and track Linear issues directly from Cursor. It provides context-aware task creation, bidirectional sync, chat integration, and optional webhooks for real-time updates.
Capabilities
Overview
Mo is a Model Context Protocol (MCP) server that brings Linear’s issue‑tracking capabilities directly into the Cursor IDE. By exposing a rich set of task‑management commands over MCP, it eliminates the need for developers to switch contexts between code and a separate project management tool. Instead, every task can be created, updated, or queried from the same editor session that hosts the code, making the development workflow more fluid and reducing context‑switch fatigue.
The server solves a common pain point for teams that rely on Linear: the friction of juggling separate applications. With Mo, developers can turn a code selection or file context into a Linear issue with a single slash command. The MCP server automatically synchronizes local task state with Linear, ensuring that updates made in Cursor appear in the team’s board and vice versa. This bidirectional sync keeps everyone on the same page without manual copy‑paste or duplicate work.
Key capabilities include:
- Context‑aware task creation – Generate Linear issues directly from the current file or a highlighted code block, capturing relevant metadata such as project and workflow state.
- Rich, interactive responses – The server returns Markdown‑formatted messages that include action buttons, allowing users to navigate, edit, or close tasks without leaving the editor.
- Secure authentication – Credentials for Linear are stored safely, and the server handles token refresh automatically.
- Webhook support – Optional real‑time updates keep the Cursor view in sync with changes made elsewhere, ensuring developers always see the latest task status.
- Chat integration – Linear tools are available inside Claude chat, letting conversational AI suggest or modify tasks while a developer is writing code.
In practice, Mo shines in scenarios such as pair programming sessions where the AI assistant can propose new tasks based on code changes, or during sprint planning meetings where developers can quickly annotate issues directly from the IDE. Teams that adopt Mo experience fewer missed tasks, a tighter feedback loop between code and project management, and a more cohesive developer experience.
By leveraging MCP’s extensible architecture, Mo demonstrates how external services can be seamlessly woven into the IDE ecosystem, turning a traditional task‑tracker into an interactive partner that evolves alongside the codebase.
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