mcp

The MCP server for AI-assisted development of CAP applications provides a robust framework for developers looking to enhance their application development workflow. By utilizing the Model Context Protocol, you can seamlessly integrate AI capabilities into your projects, enabling intelligent code suggestions and real-time context-aware assistance while developing Cloud Application Programming (CAP) applications.

Once connected to the MCP server, you can interact through a variety of commands that facilitate the development process. You can send queries to the server to request context-specific code snippets, receive suggestions based on your current coding context, and retrieve documentation relevant to your project. For the best results, focus on queries that include specific tasks or functions you are working on, as the server is designed to provide tailored assistance based on the context of your CAP application.

Prerequisites

• Ensure you have Node.js installed (version 12 or higher is recommended).

Option A: Quick start with npx

You can quickly start using the MCP server without a global installation by running:

npx -y cap-js/mcp-server

Option B: Global install alternative

If you prefer a global installation, you can clone the repository and run the server locally:

git clone https://github.com/cap-js/mcp-server.git
cd mcp-server
npm install
npm start

To ensure optimal performance, configure the server by setting environment variables that define your project context, such as CAP_PROJECT_PATH to point to your CAP application directory. Be aware that network issues may affect your server's ability to fetch AI suggestions, so check your connection if you encounter delays. Additionally, ensure that the necessary permissions are granted for the MCP server to access your local files.