Shortcut.com MCP Server

Overview

The Shortcut.com MCP Server bridges AI assistants with Shortcut’s ticketing platform, turning the tool into a first‑class data source and command interface. By exposing Shortcut’s REST API through Model Context Protocol endpoints, the server lets assistants like Claude list, search, create, update, and comment on stories without leaving the chat. This removes the friction of switching between a browser or CLI tool and an AI workflow, enabling developers to ask questions such as “Show me all bugs in the current sprint” or “Create a new feature request for the API docs” and receive immediate, actionable results.

What makes this integration valuable is that it treats Shortcut not merely as a static knowledge base but as an active workspace. The server offers both resource endpoints (e.g., ) that provide read‑only snapshots, and tool endpoints (e.g., , ) that perform state‑changing operations. Prompt generators (, ) further streamline common tasks by producing templated content that can be reviewed or edited before submission. Together, these capabilities give developers a natural language interface to their issue tracker, reducing context switching and accelerating feedback loops.

Key features include:

• Comprehensive CRUD: List, search, retrieve details, create, update, and comment on stories.
• Workflow visibility: Enumerate workflow states and projects to help assistants reason about status or assignment.
• Template generation: Prompt tools generate structured templates for bugs and feature requests, ensuring consistency across the team.
• Secure token handling: The server expects a in the environment, keeping credentials out of source code.

Typical use cases span from continuous integration pipelines that auto‑create stories for failed tests, to product managers using an AI assistant to draft new feature tickets while reviewing backlog metrics. In a remote team setting, developers can simply say “Add a comment to story 1234: ‘Investigating the race condition’” and have it reflected instantly in Shortcut, all without leaving their IDE or chat window.

Integration with AI workflows is straightforward: an MCP‑compatible assistant discovers the server via its configuration, then calls the exposed tools or resources. Because the server adheres to MCP’s declarative style—decorators for resources, tools, and prompts—it can be extended with minimal effort. Adding a new capability involves updating the Shortcut client, defining any necessary data models, and decorating a function in . This modularity ensures that the server can evolve alongside Shortcut’s API or the team’s specific needs, making it a robust component in any AI‑augmented development environment.