Article Summary
A blog post details the creation and functionality of an MCP (Model Context Protocol) server. The server acts as an orchestrator, exposing local tools and information to AI models like Anthropic's Claude 3 via a WebSocket connection.
- The implementation uses Go for the server and Rust for the client, communicating over a WebSocket for real-time interaction.
- The server exposes a `currentTime` tool and provides dynamic file system context, allowing the AI to read specific files.
- It demonstrates how an AI model can request tools and context, and the server fulfills these requests, sending results back to the AI.
- The setup aims to provide AI models with enhanced capabilities to interact with local environments and utilize custom tools.