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Shortcut.com MCP Server

Shortcut.com MCP Server

Local
github.com/WynnDProductivity0Updated 42w ago

About Shortcut.com MCP Server

An MCP server for accessing and searching Shortcut.com tickets, intended for teams managing project work with AI assistants. Alongside story lookup, it supports creation, updates, comments, and retrieval of workflow states and projects.

Key features

  1. 01List and search stories
  2. 02Retrieve story details
  3. 03Create and update stories
  4. 04Add comments to stories
  5. 05Retrieve workflow states and projects
  6. 06Provide story resources and template prompts

Use cases

  1. 01Find project tickets matching criteria
  2. 02Review and edit ticket details
  3. 03Add comments to tickets
  4. 04Generate bug report or feature request templates

MCP support

The server provides MCP clients with Shortcut.com story resources, search and editing tools, and prompts for bug reports and feature requests.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

No install method listed yet

We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.

Repository

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

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
    
  2. 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
    
  3. 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
  2. Add the MCP server configuration:

    {
      "mcpServers": {
        "shortcut": {
          "command": "python",
          "args": ["-m", "src.server"],
          "env": {
            "SHORTCUT_API_TOKEN": "your_token_here"
          }
        }
      }
    }
    
  3. 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

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.