MCP-Linear is an MCP server that empowers AI assistants to seamlessly interact with Linear, a popular project management tool. By implementing the MCP protocol, it allows AI models to retrieve data like issues, projects, and teams, as well as create and update issues, modify statuses, assign tasks, add comments, and even initiate new projects. This integration bridges the gap between AI and project management, enabling developers to automate workflows and gain intelligent insights. MCP-Linear leverages the Linear GraphQL API for efficient data handling and can be easily integrated into various AI clients like Cursor and Claude via Smithery or manual configuration. The core value lies in streamlining project management tasks through AI-driven automation, saving developers time and improving overall efficiency. It connects to Linear using an API token, ensuring secure and authorized access.

Linear Data Retrieval

MCP-Linear allows AI assistants to retrieve data from Linear project management systems. It leverages the Linear GraphQL API to fetch information about issues, projects, teams, and other relevant data. This enables AI models to gain a comprehensive understanding of the project landscape, including task assignments, deadlines, and progress. The AI can then use this information to provide context-aware assistance, such as summarizing project status, identifying bottlenecks, or suggesting optimal task prioritization. For example, an AI assistant could use MCP-Linear to fetch all open issues assigned to a specific developer and then provide a summary of their workload and upcoming deadlines. This feature enhances the AI's ability to provide informed and relevant support to users managing projects in Linear.

Issue Management Automation

MCP-Linear empowers AI assistants to automate issue management tasks within Linear. This includes creating new issues, updating existing issues, changing issue statuses, assigning issues to team members, and adding comments. By automating these tasks, MCP-Linear reduces the manual effort required to manage projects in Linear, freeing up project managers and developers to focus on more strategic activities. For instance, an AI assistant could automatically create a new issue in Linear when a user reports a bug through a chat interface, pre-populating the issue with relevant information such as the user's description of the bug and system logs. This streamlines the bug reporting process and ensures that all necessary information is captured in Linear.

Real-time Project Status Updates

MCP-Linear facilitates real-time project status updates by enabling AI assistants to monitor and react to changes in Linear. The AI can track issue status changes, new comments, and task assignments, and then proactively notify relevant stakeholders of important updates. This ensures that everyone is kept informed of the latest developments in the project, improving communication and collaboration. For example, an AI assistant could monitor the status of a critical issue and automatically notify the project manager when the issue is moved to "In Progress" or "Resolved." This allows the project manager to stay on top of critical issues and ensure that they are addressed in a timely manner.

Installation Simplicity

MCP-Linear offers a streamlined installation process, particularly when using Smithery. The npx command simplifies the installation for both Cursor and Claude Desktop clients, automatically configuring the necessary components. This ease of installation lowers the barrier to entry for users who want to integrate their AI assistants with Linear. The manual configuration option provides flexibility for users with specific setup requirements, offering detailed instructions for configuring the MCP settings file and client-specific configuration locations. This dual approach ensures that MCP-Linear can be easily adopted by a wide range of users, regardless of their technical expertise.