The rapid growth of Artificial Intelligence (AI) and Large Language Models (LLMs) has created the need for new ways to connect AI systems with external tools and data sources. For decades, REST APIs have been the standard method for building web services. However, the emergence of the Model Context Protocol (MCP) has introduced a new paradigm specifically designed for AI […]
Introduction In this tutorial, we will create a Model Context Protocol MCP server for a MySQL database using Python. MCP allows AI applications to connect with external tools and data sources in a standardized way. The official Python SDK supports building MCP servers that expose tools, resources, and prompts to LLM applications. Here, our MCP server will connect to a […]
Introduction The OpenAI Agents SDK allows developers to build AI agents with instructions, tools, guardrails, handoffs, and runtime orchestration. It uses the OpenAI Responses API by default for OpenAI models. The Model Context Protocol MCP allows AI applications to connect with external tools and data sources in a standard way. OpenAI’s Agents SDK supports MCP integration, so an OpenAI agent […]
The rise of AI agents and the Model Context Protocol (MCP) has transformed how Large Language Models (LLMs) interact with external systems. Through MCP, AI assistants can access databases, files, APIs, cloud services, and enterprise applications. However, this power comes with significant security challenges. An improperly designed MCP server can expose sensitive information, execute malicious commands, or compromise enterprise systems. […]
Artificial Intelligence (AI) systems have become increasingly powerful, but one major limitation remains: AI models often cannot directly access external tools, databases, or applications in a standardized manner. This is where the Model Context Protocol (MCP) comes into play. MCP is rapidly emerging as a standard protocol for connecting Large Language Models (LLMs) with external systems, much like how HTTP […]