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Shortcut.com MCP Server: Instant Deployments & AI Automation - MCP Implementation

Shortcut.com MCP Server: Instant Deployments & AI Automation

Shortcut.com MCP Server: Instant server deployments, AI-driven automation, and seamless scaling – no code. No hassle. Just results.

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About Shortcut.com MCP Server

What is Shortcut.com MCP Server: Instant Deployments & AI Automation?

The Shortcut.com MCP Server is an advanced integration layer designed to enable seamless interaction between AI assistants like Claude and Shortcut.com's ticket management platform. This server implements the Model Context Protocol (MCP), allowing AI systems to programmatically access, manipulate, and generate data within Shortcut's ecosystem. It serves as a bridge for automating workflows through structured API interactions while maintaining contextual awareness.

How to Use Shortcut.com MCP Server: Instant Deployments & AI Automation?

  1. Environment Setup: Install Python 3.10+ and configure your virtual environment using either uv or pip-based installation workflows. Ensure dependencies are resolved via the provided requirements.txt.
  2. Configuration: Create a .env file with your Shortcut API token and server parameters. Adjust host/port settings for production environments.
  3. Server Execution: Launch the server via python -m src.server. Verify operation through endpoint responses or logging outputs.
  4. Claude Integration: Modify Claude Desktop's configuration JSON to register the server as an MCP endpoint, specifying execution parameters and environment variables.

Shortcut.com MCP Server Features

Key Features of Shortcut.com MCP Server: Instant Deployments & AI Automation?

  • Bi-directional Data Sync: Supports both read (story retrieval, workflow state queries) and write operations (ticket creation, status updates).
  • Context-Aware Automation: Built-in templates for generating standardized responses and action items directly within Shortcut's ticketing system.
  • Granular Access Control: Role-based permissions via API token scoping to restrict AI agent capabilities.
  • Performance Optimization: Asynchronous processing pipelines for batch operations, reducing latency in high-volume scenarios.

Use Cases of Shortcut.com MCP Server: Instant Deployments & AI Automation?

Primary applications include:

  • Automated ticket prioritization using AI-driven impact/urgency analysis
  • Self-service request fulfillment via conversational interfaces
  • Incident management workflows with real-time status updates
  • Compliance auditing through automated ticket tagging and categorization

Enterprise teams leverage this for reducing manual overhead in DevOps, customer support, and project management workflows.

Shortcut.com MCP Server FAQ

FAQ from Shortcut.com MCP Server: Instant Deployments & AI Automation?

  • Q: Does this support multi-tenant environments?
    A: Yes, when configured with isolated API tokens and database schemas per tenant.
  • Q: What error handling mechanisms are built-in?
    A: Automatic retries for transient failures, granular logging, and customizable webhook alerts for critical errors.
  • Q: Can it integrate with other ticketing systems?
    A: Currently specific to Shortcut.com, but the MCP framework allows future adapters for other platforms.
  • Q: How are security credentials protected?
    A: Token storage follows secure vault practices, with environment variable encryption options available.

Content

Shortcut.com MCP Server

An implementation of a Model Context Protocol (MCP) server for accessing and searching tickets on Shortcut.com.

Overview

This project implements an MCP server that allows Claude and other MCP-compatible AI assistants to interact with Shortcut.com's ticket management system. With this integration, AI assistants can:

  • List and search for stories (tickets) in Shortcut
  • Get detailed information about specific stories
  • Create new stories
  • Update existing stories
  • Add comments to stories
  • Retrieve workflow states and projects

Prerequisites

  • Python 3.10+
  • Shortcut.com API token

Installation

  1. Clone this repository:

    git clone https://github.com/yourusername/mcp-server-shortcut.git

cd mcp-server-shortcut

  1. Create a virtual environment and install dependencies:

    Using uv (recommended)

curl -LsSf https://astral.sh/uv/install.sh | sh  # For Mac/Linux
uv venv
source .venv/bin/activate  # On Mac/Linux or .venv\Scripts\activate on Windows
uv pip install -r requirements.txt

# Using pip
python -m venv venv
source venv/bin/activate  # On Mac/Linux or venv\Scripts\activate on Windows
pip install -r requirements.txt

  1. Create a .env file in the project root directory with your Shortcut API token:

    SHORTCUT_API_TOKEN=your_token_here

SERVER_PORT=5000
SERVER_HOST=0.0.0.0
DEBUG_MODE=True

Running the Server

Start the MCP server using:

python -m src.server

Configuring Claude Desktop

To use this MCP server with Claude Desktop:

  1. Edit the Claude Desktop configuration file:
* Mac: `~/Library/Application Support/Claude/claude_desktop_config.json`
* Windows: `%APPDATA%\Claude\claude_desktop_config.json`

  1. Add the MCP server configuration:

    {
    "mcpServers": {
    "shortcut": {
    "command": "python",
    "args": ["-m", "src.server"],
    "env": {
    "SHORTCUT_API_TOKEN": "your_token_here"
    }
    }
    }

}
  1. Restart Claude Desktop.

Available MCP Capabilities

Resources

  • shortcut://stories - Access a list of stories
  • shortcut://story/{story_id} - Access a specific story

Tools

  • list_stories - List stories with optional filtering
  • search_stories - Search for stories using text queries
  • get_story_details - Get detailed information about a specific story
  • create_story - Create a new story
  • update_story - Update an existing story
  • add_comment - Add a comment to a story
  • list_workflow_states - List all workflow states
  • list_projects - List all projects

Prompts

  • create_bug_report - Generate a template for bug reports
  • create_feature_request - Generate a template for feature requests

Project Structure

  • src/ - Source code directory
    • server.py - Main MCP server implementation
    • config.py - Configuration management
    • shortcut_client.py - Client for the Shortcut API
    • utils.py - Utility functions and data models
  • requirements.txt - Project dependencies
  • .env - Environment variables (not tracked in git)

Development

Adding New Capabilities

To add a new capability to the MCP server:

  1. Add any new API methods to shortcut_client.py
  2. Define Pydantic models in utils.py if needed
  3. Implement the MCP functionality using decorators in server.py:
    * Use @mcp.resource() for read-only resources
    * Use @mcp.tool() for actions that can modify data
    * Use @mcp.prompt() for generating templates or structured text

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

MIT License

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