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Dart MCP Server

by jmanhype
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JavaScript
MIT License
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Dart MCP Server

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A Model Context Protocol (MCP) server implementation for Dart, providing task management, document handling, and workspace organization capabilities through MCP tools.

Prerequisites

  • Node.js 16.x or higher

  • Python 3.8 or higher

  • Dart Python SDK installed (pip install dart-sdk)

  • A valid Dart API token

Features

  • Task Management

    • Create and update tasks

    • Set task priorities and status

    • Assign tasks to team members

  • Document Management

    • Create and organize documents

    • Support for markdown content

    • Report generation

  • Space Management

    • Create and manage workspaces

    • Organize content with folders

    • Control access permissions

  • Dartboard Integration

    • Default status management

    • Task organization

    • Team collaboration

Installation

Installing via Smithery

To install Dart MCP Server for Claude Desktop automatically via Smithery:

npx -y @smithery/cli install @jmanhype/dart-mcp-server --client claude

Manual Installation

  1. Clone the repository:

git clone https://github.com/jmanhype/dart-mcp-server.git cd dart-mcp-server

  1. Install Node.js dependencies:

npm install

  1. Set up Python environment and install Dart SDK:

# Create and activate virtual environment python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate # Install Dart SDK pip install dart-sdk

  1. Set up environment variables:

# Copy example environment file cp .env.example .env # Edit .env with your configuration # Required: DART_TOKEN # Optional: PYTHONPATH (path to dart sdk)

Usage

  1. Build the TypeScript code:

npm run build

  1. Start the MCP server:

npm start

Development

# Watch for TypeScript changes npm run dev # Run tests npm test

Environment Variables

Create a .env file with the following variables:

# Required: Your Dart API token DART_TOKEN=your_dart_token_here # Optional: Path to your Dart SDK installation PYTHONPATH=/path/to/dart/sdk # Optional: Python executable path (defaults to system Python) PYTHON_PATH=/path/to/python

Available MCP Tools

  • create_task: Create new tasks with title, description, priority, etc.

  • update_task: Update existing tasks' status, title, description

  • get_default_status: Get default status DUIDs

  • get_default_space: Get default space DUID

  • get_dartboards: List available dartboards

  • get_folders: List folders in a space

  • create_folder: Create new folders

  • create_doc: Create new documents or reports

  • create_space: Create new workspaces

  • delete_space: Delete existing workspaces

Troubleshooting

If you encounter issues:

  1. Verify Python environment:

    python --version pip list | grep dart

  2. Check Dart SDK installation:

    python -c "import dart; print(dart.__version__)"

  3. Verify environment variables:

    echo $DART_TOKEN echo $PYTHONPATH

License

MIT License

Dart Tools

PyPI Supported Python Versions License

Dart is Project Management powered by AI.

dart-tools is the Dart CLI and Python Library. It enables direct integration with Dart through a terminal CLI or through Python.

  • Installation

  • Using the CLI

  • Using the Python Library

  • Using the Python Library in AWS Lambda Functions

  • Using the MCP Server

  • Advanced Usage

  • Help and Resources

  • Contributing

  • License

Installation

In the terminal, install by running

pip install dart-tools

Using the CLI

Start off by setting up authentication with

dart login

Then, you can create a new task with a command along the lines of

dart createtask "Update the landing page" -p0 --tag marketing

which will make a new task called 'Update the landing page' with priority 'Critical' (i.e. P0) and with the 'marketing' tag.

You can explore all of these options and many more with dart --help or the more specific help for subcommands, in this case dart createtask --help.

Another common workflow is to updating a preexisting task. To do this, run something like

dart updatetask [DUID] -s Done

This command will mark the referenced task 'Done'. Here [DUID] is meant to be replaced (including the brackets) with the 'Dart ID' of an existing task. You can get a DUID from any existing task in a number of ways, such as by copying it from the end of a task's URL or by clicking the '...' button in a task page in Dart and then choosing 'Copy ID'.

Using the Python Library

First, set up authentication. Run dart login in the terminal for an interactive process, or visit your Dart profile and then run dart.login(token) or save the token into the DART_TOKEN environment variable.

Then, you can run something like

import os from dart import create_task, is_logged_in, update_task # Check that auth is set up and stop if not, can remove this once everything is set up is_logged_in(should_raise=True) # Create a new task called 'Update the landing page' with priority 'Critical' (i.e. p0) and with the 'marketing' tag new_task = create_task( "Update the landing page", priority_int=0, tag_titles=["marketing"] ) # Update the task to be 'Done' update_task(new_task.duid, status_title="Done")

Using the MCP Server

The Model Context Protocol (MCP) server implementation enables AI assistants (like Claude) to interact with Dart through standardized tools. This allows for seamless integration of AI capabilities with Dart's task management system.

Installation

# Clone the repository git clone https://github.com/its-dart/dart-tools.git cd dart-tools/dart/mcp # Install dependencies npm install # Set up Python environment python -m venv .venv source .venv/bin/activate # On Windows: .venv\Scripts\activate pip install dart-tools # Configure environment cp .env.example .env # Edit .env with your DART_TOKEN

Available MCP Tools

The server provides these MCP tools:

  • Task Management (create/update tasks)

  • Document Management (create/organize docs)

  • Space Management (workspaces/folders)

  • Dartboard Integration

For detailed documentation, see MCP Server README.

Advanced Usage

Almost anything that can be done in Dart can be done with the Python library, but there are not convenient wrapper functions for everything. For most advanced usage, the best thing to do is to get in touch with us and we can help.

However, if you want to explore on your own, the client is well-typed, so you can simply explore the code to see what is possible. All updates will go through the the dart.transact function.

As an example, you could run something akin to update_task with

from dart import ( Dart, Operation, OperationKind, OperationModelKind, TaskUpdate, TransactionKind, ) # Initialize the inner client dart = Dart() # Prepare the update operation task_update = TaskUpdate( duid="[DUID]", size=5, ) task_update_op = Operation( model=OperationModelKind.TASK, kind=OperationKind.UPDATE, data=task_update, ) # Call the operation transactionally to perform the update response = dart.transact([task_update_op], TransactionKind.TASK_UPDATE)

Help and Resources

  • Homepage

  • Web App

  • Help Center

  • Bugs and Features

  • Library Source

  • Chat on Discord

  • Email us at support@itsdart.com

Contributing

Contributions are welcome! Please open an issue or submit a pull request.

License

This project is licensed under the MIT License.

Deploy Server
A
security – no known vulnerabilities
A
license - permissive license
A
quality - confirmed to work

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

Tools

View all tools

A Dart-based MCP server implementation that enables AI-assisted task management, document handling, and workspace organization through standardized tools and seamless Dart integration.

  1. Prerequisites
    1. Features
      1. Installation
        1. Installing via Smithery
        2. Manual Installation
      2. Usage
        1. Development
          1. Environment Variables
            1. Available MCP Tools
              1. Troubleshooting
                1. License
                  1. Dart Tools
                    1. Installation
                    2. Using the CLI
                    3. Using the Python Library
                    4. Using the MCP Server
                    5. Advanced Usage
                    6. Help and Resources
                    7. Contributing
                    8. License

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