Linear Streamable

About

This tool provides a Model Context Protocol (MCP) server for the Linear API, specifically engineered to enhance interactions for AI agents and chat clients. It streamlines data retrieval, simplifies API jargon in schemas, and offers human-readable feedback, enabling language models to manage Linear issues, projects, teams, users, comments, and cycles more effectively, whether running locally or as a Cloudflare Worker. It's tailored to ensure AI agents know exactly how to use the Linear API effectively, supporting batch actions and context-aware responses.

Key Features

• Contextual guidance: Offers hints, suggestions, and error recovery tips for LLM interactions.
• Batch operations support: Enables language models to perform multiple actions (e.g., add_issues) in one go.
• Optimized for AI agents: Simplifies data discovery (e.g., Team IDs, Project IDs) for LLMs in single actions.
• Dynamic schema adjustment: Adapts schemas based on workspace preferences and hides irrelevant tools.
• Enhanced readability: Provides clear MCP instructions and schema descriptions with human-readable API responses.
• 14 GitHub stars

Use Cases

• List and filter Linear issues, such as those assigned to the current user or due on a specific date.
• Create new Linear issues with specific details, assign them to projects, and set due dates.
• Update existing Linear issues, like rescheduling due dates or changing their workflow states.