This article explains the MCP communication protocol, detailing how JSON‑RPC 2.0 structures requests and responses, how tools are listed and invoked via HTTP SSE, and walks through the full client‑server lifecycle with concrete code examples and diagrams.
This article demonstrates how to resolve AI hallucination in train‑ticket queries by cleaning data, building a Spring AI‑based Model Context Protocol (MCP) server with HTTP SSE in Java, exposing it as a tool, and seamlessly integrating the server into a FastGPT workflow to enable natural‑language train‑ticket assistance.
This article walks through extending a Spring AI MCP Server to add authentication and authorization, comparing header‑based and parameter‑based schemes, showing the required Maven dependency, source code modifications, custom transport provider, interceptor integration, and testing the secured endpoints.
This tutorial walks through creating a Sequential Thinking MCP Server in Java using Spring AI 1.0, covering configuration, core classes, tool registration, HTTP SSE setup, performance trade‑offs, and links to the official guide and GitHub repository.
This article walks through converting the open‑source SequentialThinking MCP Server from its default Stdio interface to an HTTP Server‑Sent Events (SSE) implementation using TypeScript, Express, and the MCP SDK, detailing configuration, code changes, route setup, and testing procedures.
This article explains how Supergateway converts a standard Stdio‑based Model Context Protocol (MCP) server into an HTTP SSE (or WebSocket) service, detailing installation, command‑line usage, a train‑ticket MCP example, and how the conversion simplifies web integration and remote debugging.
This tutorial walks through creating a weather‑focused MCP server with the Model Context Protocol TypeScript SDK, explaining Server‑Sent Events, setting up the Node.js environment, writing the TypeScript code, building, running, and testing the HTTP SSE service end‑to‑end.
This guide explains how to use the php-mcp/server library to create a standards‑compliant Model Context Protocol (MCP) server in PHP 8, covering installation, key features, attribute‑based definitions, configuration, transport options, discovery, and code examples for a simple stdio server.
The article analyzes the new Streamable HTTP transport introduced in MCP (Model Context Protocol) PR #206, comparing it with the legacy HTTP+SSE approach across stability, TCP connection usage, request success rate, latency, and client‑side code complexity, and shows why Streamable HTTP is superior in high‑concurrency cloud‑native deployments.
This article explains the Model Context Protocol (MCP), why it simplifies AI tool integration, and provides a step‑by‑step guide to create a Spring AI 1.0.0‑M7 Maven project, configure the MCP server with HTTP SSE, implement weather and Maoyan movie services, run the server, and test it with the MCP Inspector and Cherry Studio client.
