Building and connecting a production-ready ecommerce MCP server using Amazon Bed

Promoting Amazon Quick resources (agents, action connectors, knowledge bases, flows, and spaces) from a development to a production AWS account has been a manual, error-prone

<p>REST APIs gave humans (and the code they wrote) a standardized way to access software over the network.</p> <p>MCP is trying to do the same thing for agents.</p> <p>That simple

The Smartsheet Model Context Protocol (MCP) Server lets AI agents read, update, and act on live work management data. This post shows two ways to connect it on AWS: Amazon Quick

This post shows you how to deploy a serverless MCP proxy on Amazon Bedrock AgentCore Runtime that gives you a programmable layer to implement proper governance, controls, and

<p>The AI world has a plumbing problem. We have incredible language models, but connecting them to real tools — databases, APIs, file systems, other agents — still feels like

<p><em>This blog was originally published on <a href="https://www.descope.com/blog/post/auth-remote-mcp" rel="noopener noreferrer">Descope</a>.</em></p> <p><a

In this post, you will learn how to build stateful MCP servers that request user input during execution, invoke LLM sampling for dynamic content generation, and stream progress

<p>The Model Context Protocol has crossed 97 million monthly SDK downloads and over 10,000 public server implementations. Every major AI platform — Claude, Cursor, Windsurf,