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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 …
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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 …
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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 …
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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,...
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 …
The post