mcp

The mcp server implements the Supermodel Model Context Protocol, providing a robust framework for generating code graphs in advanced AI models like Cursor, Codex, and Claude Code. Developers use this server to streamline the integration of complex code visualizations, enhancing their software development workflows and improving code comprehension.

Once connected to the mcp server, you can execute commands to generate code graphs directly from your codebase. Utilize queries that specify the context or specific components of your code, allowing for detailed visual representations. The server is optimized for handling complex queries, so you can expect efficient responses when generating graphs for larger codebases or intricate models.

To install the mcp server, ensure you have Node.js installed on your machine. You can quickly start using the server with the following command:

npx -y mcp

Alternatively, for a global installation, you can use:

npm install -g mcp

Ensure that you have the latest version of Node.js for optimal performance.

When configuring the mcp server, pay attention to the environment variables that may be required for optimal operation, such as API keys for the AI models. A common gotcha is ensuring your Node.js version is compatible with the server's requirements; check the GitHub repository for any updates on compatibility.