MCP (Model Context Protocol) provides a universal standard for connecting LLMs to external data sources and tools, eliminating the need to manually copy-paste context into a chat session and enabling ...

Model Context Protocol makes it far easier to integrate LLMs and your APIs. Let’s walk through how MCP clients and servers communicate, securely. Every new protocol introduces its own complexities.

An MCP Server is a simple program that lets AI models securely access data and tools using the Model Context Protocol (MCP). FastMCP is a Python framework that helps you build MCP servers and clients.

One of the biggest issues with large language models (LLMs) is working with your own data. They may have been trained on terabytes of text from across the internet, but that only provides them with a ...