http4k MCP

The Model Context Protocol, or MCP, is a handy tool that lets AI models chat with other tools and data sources easily. Think of it like a USB C port for AI, ensuring everything connects nicely.

Benefits

MCP makes it easy for AI models to work with different tools. It lets AI assistants use outside tools to get real time information. MCP is secure and can grow with business applications. It works with many ways to talk, like STDIO and WebSocket.

Use Cases

MCP can be used in many places. It helps AI models get live data from services like Azure OpenAI. This means AI can give better answers with the newest information. It is great for businesses in finance, healthcare, and retail.

Microsoft has tools to help use MCP. The Microsoft Semantic Workbench helps build AI assistants with MCP. The Microsoft AI Gateway lets developers test MCP with Azure API Management.

To make an MCP server, you can write a Python file that does math tasks. Another Python file can be a client that talks to this server. When you run both, the AI can do tasks like math problems using real time data.

MCP servers help AI understand and use tools better. They show a list of tools that AI can use. For example, an AI assistant named Cline read a file, built a server, and fixed an error by itself. This shows how clever MCP servers can be.

MCP is changing how AI works with other software. It turns a simple AI model into a smart assistant that understands its environment. As more people use MCP, it will make AI systems better and more connected to everyday tools.