An MCP Server uses the Model Context Protocol (MCP) to link AI models with tools and data sources. These lightweight programs securely handle tasks like accessing files, databases, or APIs, enabling ...

Claude without MCP is only half the story.

Microsoft Product Manager Mike Kistler previews his Visual Studio Live! session on how MCP servers give .NET developers a universal standard for connecting AI models to external data and tools -- and ...

As adoption of MCP servers accelerates into the tens of thousands, developers and platform teams are increasingly responsible ...

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 ...

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 ...

One decision many enterprises have to make when implementing AI use cases revolves around connecting their data sources to the models they’re using. Different frameworks like LangChain exist to ...

AI chatbots are great at answering questions or analyzing text, but they're usually limited to the tools that are built in. MCP changes that by giving chatbots a standard way to connect to external ...