Hands On Getting large language models to actually do something useful usually means wiring them up to external data, tools, or APIs. The trouble is, there's no standard way to do that - yet.… ...

These milestones are meaningful, but they don’t tell the full story: MCP succeeded because it removed the friction inherent ...

Model Context Protocol (MCP) is becoming the most common interface to connect AI applications to enterprise systems like ...

A growing number of organizations are embracing Large Language Models (LLMs). LLMs excel at interpreting natural language, ...

Today’s AI coding agents are impressive. They can generate complex multi-line blocks of code, refactor according to internal style, explain their reasoning in plain English, and more. However, AI ...

Building and publishing Model Context Protocol (MCP) servers is a crucial step in allowing language models to interact seamlessly with external tools and resources. These servers act as intermediaries ...

The development team behind the Model Context Protocol (MCP) has introduced the MCP Registry as a preview – an open catalog and API to discover and use publicly available MCP servers. MCP is an open ...

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.