# 🎯 GitLab Kanban MCP Server A Model Context Protocol server for managing GitLab Kanban board operations. ## ✨ Features ### 🛠️ Available Tools - `list_tasks` - Retrieve task list from project's Kanban board - `create_task` - Create a new task on the Kanban board - `update_task` - Update an existing task - `delete_task` - Delete a task from the board - `add_comment` - Add a comment to a task ## 🏗️ Project Structure ``` src/ ├── api/ │ └── gitlab.ts # GitLab API client and methods ├── config/ │ └── gitlab.ts # GitLab configuration ├── tools/ │ ├── handlers.ts # Tool handler implementations │ └── schemas.ts # Tool schema definitions └── index.ts # MCP server main entry point ``` ## 🚀 Getting Started ### 📦 Installation ```bash npm install ``` ### 🔧 Configuration Create a `.env` file with the following environment variables: ```env GITLAB_TOKEN=your_gitlab_token GITLAB_URL=your_gitlab_url # default: https://gitlab.com ``` ### 🛠️ Build ```bash npm run build ``` For development with auto-rebuild: ```bash npm run watch ``` ## 🔍 Debugging Since MCP servers communicate over stdio, we recommend using the [MCP Inspector](https://github.com/modelcontextprotocol/inspector): ```bash npm run inspector ``` ## 📝 Usage ### Cline Configuration Add the following to your `cline_mcp_settings.json`: ```json { "mcpServers": { "gitlab-kanban-mcp-server": { "command": "node", "args": ["path/to/gitlab-kanban-mcp-server/build/index.js"], "env": { "GITLAB_TOKEN": "your_gitlab_token", "GITLAB_URL": "your_gitlab_url" } } } } ``` ## 🤝 Contributing 1. Fork this repository 2. Create your feature branch (`git checkout -b feature/amazing-feature`) 3. Commit your changes (`git commit -m '✨ feat: Add amazing feature'`) 4. Push to the branch (`git push origin feature/amazing-feature`) 5. Create a Pull Request ## 📄 License This project is licensed under the MIT License. 51:T1263,# OpenHue MCP Server An MCP server that enables control of Philips Hue lights through Claude and other LLM interfaces using the OpenHue CLI. ## Prerequisites - [Node.js](https://nodejs.org/) (v16 or higher) - [Docker](https://www.docker.com/get-started) - [Claude for Desktop](https://claude.ai/download) (optional, for testing) ## Bridge Setup Before using the server, you need to set up the OpenHue CLI with your Hue Bridge: 1. Run the setup command: ```bash # On Linux/macOS: docker run -v "${HOME}/.openhue:/.openhue" --rm --name=openhue -it openhue/cli setup # On Windows (PowerShell): docker run -v "${env:USERPROFILE}\.openhue:/.openhue" --rm --name=openhue -it openhue/cli setup ``` 2. Follow the on-screen instructions: - The CLI will search for your Hue Bridge - Press the link button on your Hue Bridge when prompted - Wait for confirmation that the setup is complete 3. Verify the setup by listing your lights: ```bash # On Linux/macOS: docker run -v "${HOME}/.openhue:/.openhue" --rm --name=openhue -it openhue/cli get lights # On Windows (PowerShell): docker run -v "${env:USERPROFILE}\.openhue:/.openhue" --rm --name=openhue -it openhue/cli get lights ``` If you see your lights listed, the setup is complete and you're ready to use the MCP server. ## Installation 1. Clone the repository: ```bash git clone cd claude-mcp-openhue ``` 2. Install dependencies: ```bash npm install ``` 3. Build the project: ```bash npm run build ``` 4. Run the server: ```bash npm start ``` ## Features This server exposes the following capabilities through MCP: ### Lights Control - List all lights or get specific light details - Turn lights on/off - Adjust brightness - Set colors - Control color temperature ### Room Control

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