Learn to build AI agents in C# using Microsoft Agent Framework and Hugging Face MCP tools for image generation and analysis.
Explains the Model Context Protocol (MCP) by drawing parallels to RESTful HTTP architecture, using a travel planner server example.
A step-by-step tutorial on building a ChatGPT to-do app using the Model Context Protocol (MCP), JavaScript, Express, and React.
Explores using Apigee API Gateway to govern and secure MCP (Model Context Protocol) servers for AI agents, including JWT validation and JSON-RPC parsing.
A guide to integrating Microsoft's Learn MCP Server with Semantic Kernel in C#/.NET for accessing up-to-date Microsoft documentation.
Explores the concept of sessions and context management in Agent-to-Agent (A2A) communication for enterprise AI systems, focusing on state, auditability, and protocol details.
A technical guide on configuring Microsoft Copilot Studio Agents with MCP servers using Azure Logic Apps, including deployment steps and JSON examples.
Explores five authorization patterns for MCP servers to securely call external APIs like GitHub or Slack on behalf of users across different trust domains.
Explains how to fix MCP tools incorrectly labeled as write tools in ChatGPT dev mode by using proper tool annotations like readOnlyHint.
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.
A proposed security evaluation framework for Model Context Protocol (MCP) servers, focusing on configuration and implementation risks for developers.
How Thoughtworks used AI and a 'Research, Review, Rebuild' workflow to modernize the Bahmni hospital system's frontend, drastically cutting migration time.
A guide to building and using Model Context Protocol (MCP) servers with Spring Boot and Spring AI for standardized AI application communication.
Explains how to use SPIFFE and Keycloak for secure, non-anonymous dynamic client registration in MCP authorization, addressing enterprise security concerns.
Introduces a Model Context Protocol (MCP) server for dev.to, enabling AI tools to access and interact with the platform's articles, tags, and user data.
Argues that companies built solely on the Model Context Protocol (MCP) are unlikely to succeed, while those using MCP as an integration layer have a better chance.
Analyzes key enterprise challenges in adopting MCP servers for AI agents, focusing on security, governance, and authorization complexities.
A tutorial on automating PostgreSQL performance debugging in Rails using LLMs and the Model Context Protocol (MCP) with a Slack bot interface.
A technical guide on deploying a multi-agent AI system using MCP and A2A protocols to Azure Container Apps, with components for conversation, tools, and specialized agents.
Final part of a series on implementing MCP Authorization, focusing on integrating a production Identity Provider (Keycloak) for OAuth.
