Anthropic's Agent Skills specification becomes an open standard, detailing its lightweight design and current industry adoption.
Explains how MCP servers enable faster development by using LLMs to dynamically read specs, unlike traditional APIs.
Analysis of MCP's advantages over OpenAPI, focusing on secure authentication and OAuth dynamic client registration for AI agents.
Anthropic proposes a new MCP approach that converts tools into executable code for more efficient AI agents, reducing token usage and errors.
A method using color-coding (red/blue) to classify MCP tools and systematically mitigate prompt injection risks in AI agents.
Explores integration methods between Microsoft Copilot and ServiceNow, covering Copilot 365, Copilot Studio agents, and MCP servers.
Learn to build AI agents in C# using Microsoft Agent Framework and Hugging Face MCP tools for image generation and analysis.
A step-by-step tutorial on building a ChatGPT to-do app using the Model Context Protocol (MCP), JavaScript, Express, and React.
A technical guide on configuring Microsoft Copilot Studio Agents with MCP servers using Azure Logic Apps, including deployment steps and JSON examples.
A guide for .NET developers to build an AI chat app with RAG and image generation using .NET, MCP, and Hugging Face in under 10 minutes.
How Thoughtworks used AI and a 'Research, Review, Rebuild' workflow to modernize the Bahmni hospital system's frontend, drastically cutting migration time.
An explanation of the Model Context Protocol (MCP), an open standard for connecting LLMs to data and tools, and why it's important for AI development.
A guide to building a Model Context Protocol (MCP) server that connects to the Marvel API, demonstrating how to integrate external APIs with AI systems.
