NotebookMcpServer

The NotebookMcpServer serves as a Model Context Protocol (MCP) server tailored for large language models (LLMs). By utilizing this server, you can seamlessly integrate notebook environments with LLMs, enabling efficient data processing and interaction through a streamlined API. This makes it particularly useful for developers looking to enhance their applications with advanced language processing capabilities.

Once connected to the NotebookMcpServer, you can interact with it using simple HTTP requests to send and receive data. You can issue commands that retrieve model outputs, manage sessions, and submit queries for context-based processing. For optimal performance, focus on utilizing structured data inputs that align with your specific use case, such as JSON objects containing prompts or user queries.

Prerequisites

To install and run NotebookMcpServer, ensure you have the following prerequisites:

• Node.js (version 14 or higher)

Option A: Quick Start with npx

If you prefer a quick start without a global install, you can use npx:

npx -y @DimonSmart/NotebookMcpServer

Option B: Global Install Alternative

For a global installation, run:

npm install -g @DimonSmart/NotebookMcpServer

When configuring the NotebookMcpServer, ensure that you define any necessary environment variables in your system, such as MCP_PORT for setting the server's listening port. A common gotcha is forgetting to specify the input format for your queries; ensure you follow the required structure to avoid errors.