Dooray MCP Server: Streamlining Scheduling with AI and UBOS

In today’s fast-paced business environment, efficient time management and seamless integration between applications are crucial for productivity. The Dooray MCP Server, leveraging the Dooray API, offers a sophisticated solution for automating and streamlining scheduling tasks, particularly when integrated with AI-powered platforms like Claude Desktop, all while fitting seamlessly into the broader UBOS ecosystem.

What is an MCP Server?

Before diving into the specifics of the Dooray MCP Server, it’s essential to understand the underlying concept of an MCP (Model Context Protocol) server. An MCP server acts as a bridge between AI models and external data sources or tools. It standardizes how applications provide context to Large Language Models (LLMs), enabling them to access and interact with information beyond their pre-trained datasets. This capability is paramount for building AI agents that can perform specific tasks with real-world data and context. UBOS, as a full-stack AI Agent Development Platform, deeply understands the significance of MCP servers in connecting AI Agents with enterprise data, facilitating the orchestration of AI Agents, and enabling the construction of custom AI Agents using various LLMs and Multi-Agent Systems. The Dooray MCP Server exemplifies this concept by connecting a scheduling application (Dooray) with an AI platform (Claude Desktop).

Overview of Dooray MCP Server

The Dooray MCP Server is specifically designed to manage schedules using the Dooray API. This server enables users to automate the process of adding events to their Dooray calendar directly from applications like Claude Desktop. By providing features such as automatic start/end time setting and support for location and description information, it simplifies schedule management and improves overall productivity.

Key Features

• Dooray API Integration: The core functionality of the Dooray MCP Server revolves around its seamless integration with the Dooray API. This integration allows for programmatically adding events to Dooray calendars, eliminating the need for manual data entry.
• Automated Time Management: One of the standout features is the automatic setting of start and end times for events. This automation saves users time and effort by intelligently populating these fields based on the context provided.
• Location and Description Support: The server supports the inclusion of location and descriptive information for each event. This allows for a more detailed and informative schedule, ensuring that all relevant details are readily available.
• Smithery Integration: The Dooray MCP Server can be easily installed via Smithery, a tool that simplifies the installation process for MCP servers. This integration makes it accessible to a wider audience, even those without extensive technical expertise.

Use Cases

The Dooray MCP Server is a versatile tool with a wide range of potential use cases. Here are a few examples:

• AI-Powered Scheduling: Integrate with AI platforms like Claude Desktop to enable natural language scheduling. Users can simply describe an event in natural language, and the AI platform can use the Dooray MCP Server to automatically add it to their Dooray calendar.
• Automated Meeting Scheduling: Automate the scheduling of meetings based on predefined criteria or triggers. For example, automatically schedule a follow-up meeting after a sales call or a project review meeting at the end of each sprint.
• Event Management: Streamline the process of creating and managing events for conferences, workshops, or other gatherings. Automatically add events to Dooray calendars based on event details stored in a database or spreadsheet.
• Personal Productivity: Enhance personal productivity by automating the scheduling of daily tasks, appointments, and reminders. Use AI assistants to manage personal schedules and ensure that important tasks are never forgotten.

Installation

The Dooray MCP Server can be installed either automatically via Smithery or manually using the command line. The Smithery installation is the recommended approach for users who prefer a simplified and automated process. The manual installation provides more control and flexibility for advanced users.

Installing via Smithery

The easiest way to install the Dooray MCP Server is via Smithery. Smithery automates the installation process and ensures that all dependencies are correctly configured. To install the server via Smithery, use the following command:

bash npx -y @smithery/cli install @mskim8717/dooray-mcp --client claude

Manual Installation

For users who prefer to install the Dooray MCP Server manually, follow these steps:

1. Clone the repository:

   bash git clone https://github.com/mskim8717/dooray-mcp.git cd dooray-mcp

2. Create and activate a virtual environment:

   bash python -m venv .venv source .venv/bin/activate # Linux/Mac

   or

   .venvScriptsactivate # Windows

3. Install dependencies:

   bash pip install -e .

MCP Client Integration

To integrate the Dooray MCP Server with MCP client applications like Claude or Cursor, you need to configure the client with the path to the Python executable and the MCP server script. This configuration is typically done in a JSON file.

Here’s an example mcp.json configuration:

{ “mcpServers”: { “dooray-mcp”: { “command”: “/Users/yourname/project/.venv/bin/python”, “args”: [ “/Users/yourname/project/src/dooray-mcp-server.py” ] } } }

Make sure to replace the placeholder paths with the actual paths to your Python executable and MCP server script.

Environment Variables

The Dooray MCP Server requires several environment variables to be set. These variables include the Dooray API key, member ID, and calendar ID. Create a .env file and set these variables accordingly:

DOORAY_API_KEY=your_api_key DOORAY_MEMBER_ID=your_member_id DOORAY_CALENDAR_ID=your_calendar_id

Usage

To start the server, run the following command:

bash python src/dooray-mcp-server.py

Project Structure

The Dooray MCP Server project has the following structure:

dooray-mcp/ ├── src/ │ └── dooray-mcp-server.py ├── pyproject.toml ├── README.md └── LICENSE

License

The Dooray MCP Server is licensed under the MIT License.

Integration with UBOS Platform

UBOS is a full-stack AI Agent Development Platform that enables businesses to orchestrate AI Agents, connect them with enterprise data, and build custom AI Agents using various LLMs and Multi-Agent Systems. The Dooray MCP Server seamlessly integrates into the UBOS ecosystem, enhancing the capabilities of AI Agents by providing access to scheduling data from Dooray.

Benefits of integrating Dooray MCP Server with UBOS:

• Enhanced AI Agent Capabilities: By connecting AI Agents to scheduling data, they can perform more complex and context-aware tasks. For example, an AI Agent can automatically schedule meetings based on the availability of participants and the context of the project.
• Improved Automation: Automate scheduling tasks and reduce the need for manual intervention. This can free up valuable time and resources, allowing businesses to focus on more strategic initiatives.
• Seamless Integration: The Dooray MCP Server is designed to seamlessly integrate with the UBOS platform, ensuring a smooth and efficient workflow.
• Customization: UBOS allows businesses to customize AI Agents and integrate them with various data sources and tools, providing a flexible and adaptable solution for their specific needs.

How to integrate Dooray MCP Server with UBOS:

1. Deploy the Dooray MCP Server: Follow the installation instructions to deploy the Dooray MCP Server on a server that is accessible to the UBOS platform.
2. Configure UBOS to connect to the Dooray MCP Server: Configure the UBOS platform to connect to the Dooray MCP Server by providing the server’s URL and authentication credentials.
3. Create AI Agents that utilize the Dooray MCP Server: Create AI Agents that can access scheduling data from the Dooray MCP Server and perform automated tasks.

By integrating the Dooray MCP Server with UBOS, businesses can unlock the full potential of AI Agents and streamline their scheduling processes. This integration provides a powerful and flexible solution for automating tasks, improving productivity, and gaining valuable insights from scheduling data.

In conclusion, the Dooray MCP Server is a valuable tool for anyone looking to automate and streamline their scheduling tasks. Its seamless integration with Dooray API, automated time management, and support for location and description information make it a versatile and powerful solution. Combined with the power and flexibility of the UBOS platform, businesses can achieve unprecedented levels of automation and productivity.