How Thoughtworks used AI and a 'Research, Review, Rebuild' workflow to modernize the Bahmni hospital system's frontend, drastically cutting migration time.
Analyzes the security risks of Model Context Protocols (MCPs), framing them as prompts that instruct AIs to execute third-party code.
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.
Peekaboo 2.0 is a fast macOS screenshot tool for AI agents, now available as a CLI to avoid MCP context bloat and enable on-demand use.
A technical guide implementing OAuth 2.1 authorization for an MCP server, part two of a three-part series with practical code examples.
A technical guide to implementing the latest MCP Authorization specification for securing HTTP-based MCP servers, starting with building a compliant server using FastAPI.
A guide to best practices for building reliable, user-friendly, and maintainable tools using the Model Context Protocol (MCP).
A technical guide on building automated news agents using MCP, Amazon Q CLI, and tmux to generate daily news recaps from RSS feeds.
Amazon Q Developer CLI now supports Model Context Protocol (MCP) to connect external data sources for richer, context-aware AI assistance in development tasks.
A tutorial on building a production-ready chatbot server using IBM Watsonx.ai and the Model Context Protocol (MCP) Python SDK.
Explains how Sampling and Prompts in the Model Context Protocol (MCP) enable smarter, safer, and more controlled AI agent workflows.
Explains how Tools in the Model Context Protocol (MCP) enable LLMs to execute actions like running commands or calling APIs, moving beyond just reading data.
Explains how the Model Context Protocol (MCP) uses 'Resources' to securely serve structured data from systems like files and databases to LLMs.
