goodday-mcp

Goodday MCP Server

A Model Context Protocol (MCP) server for integrating with Goodday project management platform. This server provides tools for managing projects, tasks, and users through the Goodday API v2.

Features

Project Management

• get_projects: Retrieve list of projects (with options for archived and root-only filtering)
• get_project: Get detailed information about a specific project
• create_project: Create new projects with customizable templates and settings
• get_project_users: Get users associated with a specific project

Task Management

• get_project_tasks: Retrieve tasks from specific projects (with options for closed tasks and subfolders)
• get_user_assigned_tasks: Get tasks assigned to a specific user
• get_user_action_required_tasks: Get action-required tasks for a user
• get_task: Get detailed information about a specific task
• create_task: Create new tasks with full customization (subtasks, assignments, dates, priorities)
• update_task_status: Update task status with optional comments
• add_task_comment: Add comments to tasks

User Management

• get_users: Retrieve list of organization users
• get_user: Get detailed information about a specific user

OpenWebUI Integration

This package also includes an OpenWebUI tool that provides a complete interface for Goodday project management directly in chat interfaces. The OpenWebUI tool includes:

Features

• Project Management: Get projects and project tasks
• Sprint Management: Get tasks from specific sprints by name/number
• User Management: Get tasks assigned to specific users
• Smart Query: Natural language interface for common requests
• Search: Semantic search across tasks using VectorDB backend
• Task Details: Get detailed task information and messages

Setup

1. Copy openwebui/goodday_openwebui_complete_tool.py to your OpenWebUI tools directory
2. Configure the valves with your API credentials:
   • api_key: Your Goodday API token
   • search_url: Your VectorDB search endpoint (optional)
   • bearer_token: Bearer token for search API (optional)

Vector Database Setup (Optional)

For semantic search functionality, you can set up a vector database using the provided n8n workflow (openwebui/n8n-workflow-goodday-vectordb.json). This workflow:

• Fetches all Goodday projects and tasks
• Extracts task messages and content
• Creates embeddings using Ollama
• Stores in Qdrant vector database
• Provides search API endpoint

See openwebui/OPENWEBUI_TOOL_README.md for detailed usage instructions.

Installation

From PyPI (Recommended)

From Source

Prerequisites

• Python 3.10 or higher
• UV package manager (recommended) or pip
• Goodday API token

Setup with UV

1. Install UV (if not already installed):
   curl -LsSf https://astral.sh/uv/install.sh | sh
2. Clone and set up the project:
   git clone https://github.com/cdmx1/goodday-mcp.git cd goodday-mcp # Create virtual environment and install dependencies uv venv source .venv/bin/activate # On Windows: .venv\Scripts\activate uv sync

Setup with pip

Configuration

1. Set up environment variables: Create a .env file in your project root or export the variable:
   export GOODDAY_API_TOKEN=your_goodday_api_token_here
   To get your Goodday API token:
   • Go to your Goodday organization
   • Navigate to Settings → API
   • Click the generate button to create a new token

Usage

Running the Server Standalone

If installed from PyPI:

If running from source with UV:

Using with Claude Desktop

1. Configure Claude Desktop by editing your configuration file:
   • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
   • Windows: %APPDATA%\Claude\claude_desktop_config.json
2. Add the server configuration:Option A: If installed from PyPI:
   { "mcpServers": { "goodday": { "command": "goodday-mcp", "env": { "GOODDAY_API_TOKEN": "your_goodday_api_token_here" } } } }
   Option B: If running from source:
   { "mcpServers": { "goodday": { "command": "uv", "args": ["run", "goodday-mcp"], "env": { "GOODDAY_API_TOKEN": "your_goodday_api_token_here" } } } }
3. Restart Claude Desktop to load the new server.

Using with Other MCP Clients

The server communicates via stdio transport and can be integrated with any MCP-compatible client. Refer to the MCP documentation for client-specific integration instructions.

API Reference

Environment Variables

Tool Examples

Get Projects

Create a Task

Update Task Status

Data Formats

Date Format

All dates should be provided in YYYY-MM-DD format (e.g., 2025-06-16).

Priority Levels

• 1-10: Normal priority levels
• 50: Blocker
• 100: Emergency

Project Colors

Project colors are specified as integers from 1-24, corresponding to Goodday's color palette.

Error Handling

The server includes comprehensive error handling:

• Authentication errors: When API token is missing or invalid
• Network errors: When Goodday API is unreachable
• Validation errors: When required parameters are missing
• Permission errors: When user lacks permissions for requested operations

All errors are returned as descriptive strings to help with troubleshooting.

Development

Project Structure

Adding New Tools

To add new tools to the server:

1. Add the tool function in goodday_mcp/main.py using the @mcp.tool() decorator:
   @mcp.tool() async def your_new_tool(param1: str, param2: Optional[int] = None) -> str: """Description of what the tool does. Args: param1: Description of parameter 1 param2: Description of optional parameter 2 """ # Implementation here return "Result"
2. Test the tool by running the server and testing with an MCP client.

Testing

Test the server by running it directly:

The server will start and wait for MCP protocol messages via stdin/stdout.

Contributing

1. Fork the repository
2. Create a feature branch
3. Make your changes
4. Add tests if applicable
5. Submit a pull request

License

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

Support

For issues related to:

• MCP Server: Create an issue in this repository
• Goodday API: Refer to Goodday API documentation
• MCP Protocol: Refer to MCP documentation

Changelog

v1.0.0

• Initial release
• Full project management capabilities
• Task management with comments and status updates
• User management
• Comprehensive error handling
• UV support with modern Python packaging