This repository serves as my personal playground for learning and experimenting with the Model Context Protocol (MCP). As I delve into this new technology, I'll be documenting my understanding, sharing TypeScript code snippets, and showcasing various proof-of-concept implementations.
The Model Context Protocol (MCP) is a cutting-edge technology designed to streamline how AI models interact with and interpret contextual data. It aims to enhance the accuracy and relevance of AI predictions by enriching model inputs with dynamic context, and facilitating interoperability between different AI systems by establishing a common context framework.
You can find more detailed information and the official documentation at the Model Context Protocol website.
To explore the code and examples in this repository, you'll need:
- Node.js (LTS recommended)
- npm or yarn
How to run an example:
Navigate to an packages directory, install its dependencies, and then run the TypeScript file.
# Run on the Root directory
npm install
# Example: Navigating to an example
cd packages/server
npm run build
npm run inspect # to inspect the context