Skip to main content

MCP extension for Trello

Project description

MCP Trello Extension

A Model Context Protocol (MCP) extension for Claude that provides comprehensive Trello integration. This extension allows you to manage Trello workspaces, boards, lists, cards, and checklists directly through Claude.

Features

Workspace Management

  • List Workspaces: View all accessible Trello workspaces
  • Create Workspace: Create new workspaces with optional display name, description, and website
  • Delete Workspace: Permanently delete workspaces
  • Set Current Workspace: Set a workspace as current for context-aware operations
  • Get Current Workspace: View information about the currently selected workspace

Board Management

  • List Boards: View all boards in the current workspace
  • Create Board: Create new boards with optional descriptions
  • Delete Board: Permanently delete boards

List (Column) Management

  • List Board Lists: View all lists/columns in a specific board
  • Create Board List: Create new lists with positioning options (top, bottom, or specific position)
  • Delete Board List: Archive/delete lists from boards

Card Management

  • List Board Cards: View all cards in a specific board with detailed information
  • Create Card: Create new cards with optional descriptions and due dates
  • Update Card: Modify existing cards (name, description, due date, or move between lists)
  • Delete Card: Permanently delete cards

Checklist Management

  • Create Checklist: Create new checklists in cards
  • Delete Checklist: Permanently delete checklists
  • Add Checklist Item: Add items to checklists with optional checked state
  • Delete Checklist Item: Remove items from checklists

Prerequisites

  • Python 3.11+
  • Trello API credentials (API Key and Token)
  • Optional: uv package manager (for development or uvx installation)

Installation

Option 1: Desktop Extension (Recommended for Claude Desktop)

Download the latest .dxt file from the releases page and install it directly in Claude Desktop:

  1. Open Claude Desktop
  2. Go to Settings > Extensions
  3. Click "Install Extension"
  4. Select the downloaded .dxt file
  5. Configure your Trello API credentials in the extension settings

Option 2: Standard MCP Server (via PyPI)

pip install mbeauv-mcp-trello

Option 3: Install from source

  1. Clone the repository:

    git clone https://github.com/mbeauv/mcp-trello.git
    cd mcp-trello
    
  2. Install dependencies:

    uv sync
    
  3. Set up environment variables: Create a .env file in the project root:

    TRELLO_API_KEY=your_trello_api_key
    TRELLO_TOKEN=your_trello_token
    LOG_LEVEL=INFO
    TRELLO_MCP_SAFE_MODE=true
    

Safe Mode

The extension includes a Safe Mode feature to prevent accidental destructive operations. When enabled (default), destructive tools are not available:

Safe Mode Enabled (Default)

  • Available: All read and create operations
  • Disabled: All delete operations

Safe Mode Disabled

  • Available: All operations including destructive ones

Destructive Tools (Disabled in Safe Mode)

  • delete_workspace - Delete workspaces
  • delete_board - Delete boards
  • delete_board_list - Delete lists
  • delete_card - Delete cards
  • delete_checklist - Delete checklists
  • delete_checklist_item - Delete checklist items

Configuration

Set TRELLO_MCP_SAFE_MODE=false in your environment variables to enable destructive operations:

TRELLO_MCP_SAFE_MODE=false

⚠️ Warning: Only disable safe mode when you're confident about destructive operations. Deletions are permanent and cannot be undone.

Getting Trello Credentials

  1. Get your API Key:

  2. Generate a Token:

    • Visit: https://trello.com/1/authorize?expiration=never&scope=read,write&response_type=token&name=MCP%20Trello&key=YOUR_API_KEY
    • Replace YOUR_API_KEY with your actual API key
    • Authorize the application
    • Copy the generated token

Configuration

For Claude Desktop

Create or update your Claude Desktop configuration file (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

Option 1: Using pip installation (Recommended)

{
  "mcpServers": {
    "trello": {
      "command": "python",
      "args": ["-m", "mcp_trello.main"],
      "env": {
        "TRELLO_API_KEY": "your_api_key",
        "TRELLO_TOKEN": "your_token",
        "LOG_LEVEL": "INFO",
        "TRELLO_MCP_SAFE_MODE": "true"
      }
    }
  }
}

Option 2: Using uvx (if you prefer uv)

{
  "mcpServers": {
    "trello": {
      "command": "uvx",
      "args": ["--from", "mbeauv-mcp-trello", "mbeauv-mcp-trello"],
      "env": {
        "TRELLO_API_KEY": "your_api_key",
        "TRELLO_TOKEN": "your_token",
        "LOG_LEVEL": "INFO",
        "TRELLO_MCP_SAFE_MODE": "true"
      }
    }
  }
}

Option 3: From source (development)

{
  "mcpServers": {
    "trello": {
      "command": "/path/to/uv",
      "args": ["run", "python", "-m", "mcp_trello.main"],
      "env": {
        "TRELLO_API_KEY": "your_api_key",
        "TRELLO_TOKEN": "your_token",
        "LOG_LEVEL": "INFO",
        "TRELLO_MCP_SAFE_MODE": "true"
      }
    }
  }
}

For mcp-cli

Create a server_config.json file in the project root:

{
  "mcpServers": {
    "trello": {
      "command": "/path/to/uv",
      "args": ["run", "python", "main.py"],
      "env": {
        "PYTHONPATH": ".",
        "TRELLO_API_KEY": "your_api_key",
        "TRELLO_TOKEN": "your_token",
        "LOG_LEVEL": "INFO",
        "TRELLO_MCP_SAFE_MODE": true
      }
    }
  }
}

Usage

Starting the Server

uv run python main.py

Using with mcp-cli

# List available tools
uv run mcp-cli tools --server main.py list

# List workspaces
uv run mcp-cli tools --server main.py list_workspaces

# Set current workspace
uv run mcp-cli tools --server main.py set_workspace --workspace_id "your_workspace_id"

# List boards in current workspace
uv run mcp-cli tools --server main.py list_boards_for_selected

# Create a board
uv run mcp-cli tools --server main.py create_board --name "New Project" --description "Project description"

# List cards in a board
uv run mcp-cli tools --server main.py list_board_cards --board_id "your_board_id"

# Create a card
uv run mcp-cli tools --server main.py create_card --name "New Task" --list_id "your_list_id" --description "Task description"

# Update a card
uv run mcp-cli tools --server main.py update_card --card_id "your_card_id" --name "Updated Task" --description "Updated description"

Using with Claude Desktop

Once configured, the Trello tools will be available in Claude's interface. You can interact with them naturally:

  • "Show me all my Trello workspaces"
  • "Create a new board called 'Project Alpha'"
  • "List all cards in my current board"
  • "Create a card called 'Important Task' in the 'To Do' list"

Available Tools

Workspace Tools

  • list_workspaces - List all accessible workspaces
  • create_workspace - Create a new workspace
  • delete_workspace - Delete a workspace
  • set_workspace - Set current workspace
  • get_current_workspace - Get current workspace info

Board Tools

  • list_boards_for_selected - List boards in current workspace
  • create_board - Create a new board
  • delete_board - Delete a board

List Tools

  • list_board_lists - List all lists in a board
  • create_board_list - Create a new list
  • delete_board_list - Delete a list

Card Tools

  • list_board_cards - List all cards in a board
  • create_card - Create a new card
  • update_card - Update an existing card
  • delete_card - Delete a card

Checklist Tools

  • create_checklist - Create a new checklist
  • delete_checklist - Delete a checklist
  • add_checklist_item - Add item to checklist
  • delete_checklist_item - Delete item from checklist

Architecture

TrelloClient Class

The core API client that handles all Trello API interactions:

  • Refactored Design: Uses a centralized _make_request() method to reduce code duplication
  • Error Handling: Consistent error handling across all API calls
  • Authentication: Automatic inclusion of API credentials in all requests
  • Type Safety: Full type hints for better development experience

MCP Server

Built using FastMCP for simplified tool definition:

  • Tool Decorators: Uses @mcp.tool() decorators for clean tool definitions
  • Global State: Maintains current workspace context
  • Comprehensive Logging: Detailed logging for debugging and monitoring
  • Error Recovery: Graceful error handling with user-friendly messages

Building Desktop Extension

To build the .dxt file for Desktop Extension deployment:

# From the project root (recommended)
uv run python dxt/build_dxt.py

# Or with regular Python (if uv not available)
python dxt/build_dxt.py

This creates a mbeauv-mcp-trello-{version}.dxt file that can be installed directly in Claude Desktop.

Development

Project Structure

mcp-trello/
├── main.py              # MCP server implementation
├── trello_client.py     # Trello API client
├── pyproject.toml       # Project dependencies
├── server_config.json   # mcp-cli configuration
├── .env                 # Environment variables (create this)
└── README.md           # This file

Adding New Features

  1. Add API method to trello_client.py:

    async def new_feature(self, param: str) -> dict:
        return await self._make_request(
            method="GET",
            endpoint="/api/endpoint",
            params={"param": param},
            error_message="Error message"
        )
    
  2. Add MCP tool to main.py:

    @mcp.tool()
    async def new_tool(param: str) -> List[TextContent]:
        # Tool implementation
        pass
    

Testing

Test individual tools using mcp-cli:

# Test workspace listing
uv run mcp-cli tools --server main.py list_workspaces

# Test card creation
uv run mcp-cli tools --server main.py create_card --name "Test Card" --list_id "your_list_id"

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Troubleshooting

Common Issues

  1. "Missing Trello credentials"

    • Ensure .env file exists with TRELLO_API_KEY and TRELLO_TOKEN
    • Check that credentials are valid
  2. "uv not found"

    • Update the command path in configuration files
    • Use absolute path to uv executable
  3. "Server disconnected"

    • Check log files for detailed error messages
    • Verify API credentials are correct
    • Ensure network connectivity

Logging

The server provides comprehensive logging:

  • File: mcp_trello.log (if file logging is enabled)
  • Console: Real-time logging to stderr
  • Levels: DEBUG, INFO, WARNING, ERROR

Set log level via LOG_LEVEL environment variable.

Contributing

  1. Fork the repository
  2. Create a feature branch
  3. Add tests for new functionality
  4. Submit a pull request

License

[Add your license information here]

Support

For issues and questions:

  • Check the troubleshooting section
  • Review the Trello API documentation
  • Open an issue in the repository

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

mbeauv_mcp_trello-0.2.0.tar.gz (100.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

mbeauv_mcp_trello-0.2.0-py3-none-any.whl (18.1 kB view details)

Uploaded Python 3

File details

Details for the file mbeauv_mcp_trello-0.2.0.tar.gz.

File metadata

  • Download URL: mbeauv_mcp_trello-0.2.0.tar.gz
  • Upload date:
  • Size: 100.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.7.19

File hashes

Hashes for mbeauv_mcp_trello-0.2.0.tar.gz
Algorithm Hash digest
SHA256 9d357adadadf2324375f92ae414c5b635695de425def29450837416fb2744611
MD5 0d484226322e6360be858ba50e47d8b5
BLAKE2b-256 081ffc2cfbe3484e7eeddd5787343b5de8dabcb730496e897215cb17baac3022

See more details on using hashes here.

File details

Details for the file mbeauv_mcp_trello-0.2.0-py3-none-any.whl.

File metadata

File hashes

Hashes for mbeauv_mcp_trello-0.2.0-py3-none-any.whl
Algorithm Hash digest
SHA256 c150df15926df96d4f9d1cc8b2ae95c13003e1bf7c964df2ada9d0ad80365bb6
MD5 a08841e838e5e8c24d0861f120a36fc3
BLAKE2b-256 6ada25c8f95ba48f68ac4e6bfd70626046a4dace0a13b7ef52f4fcfe1d7cbca5

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page