MCP is an open protocol for connecting LLM apps to external data sources and tools, enabling seamless integration and interoperability.
View All TagsMCP, or Model Context Protocol, is a framework that enhances how AI models interact with their operational context. By integrating MCP, you ensure your AI models are not only aware of the data they process but also the environment in which they operate. This leads to more accurate and contextually relevant outputs.
Summary:
You will learn how OpenAI's MCP integration empowers models to deliver smarter, context-aware results by connecting them to their operational environment.
Prompt injection is a critical security risk for any system using large language models (LLMs), including those built with Model Context Protocol (MCP). You must understand how prompt injection works, why MCP cannot prevent it, and what steps you should take to protect your users and applications (MCP Clients).
🚨 "OpenAPI Specification (OAS) v4 is out" - That I wish, this is the kind of headline I would expect to see soon, because OAS can easily be extended to enable RESTful APIs work seamlessly with AI.
By the end of this article, you'll know how to let any LLM call your REST tools automatically using OAS.
