This article introduces Alibaba Cloud's Model Context Protocol (MCP), a standardized framework that allows AI models to securely and seamlessly use cloud services as tools.
The article presents how Alibaba Cloud Simple Log Service (SLS) solves five major heterogeneous-log challenges to boost observability in new-energy-vehicle O&M systems.
The article introduces best practices for deploying the Nacos MCP Router so AI agents can autonomously discover, select, and securely use MCP services.
The article explains how to detect, reproduce, and mitigate MCP “tool poisoning” attacks by combining eBPF-based observability with large-model security evaluation.
This article explains context engineering—the key edge for AI agents—and outlines retrieval, isolation, pruning, and compression strategies.
This article introduces the Today Investment Financial Data MCP market, an open platform that leverages 20 years of financial data to help developers .
The article introduces Higress MCP Service Management, which turns services into MCP servers with built-in routing and authentication, helping enterprises rapidly create private MCP marketplaces.
This article introduces a solution for automatically converting existing OpenAPIs into MCP tools that can be directly used by AI assistants.
This article introduces the enhanced API authentication features of Higress MCP Server.
This article introduces the launch of the Higress MCP Marketplace, which facilitates the rapid conversion of existing APIs into MCP Servers.
This article introduces the release of Nacos MCP Registry, allowing "zero-change" upgrades of existing application interfaces to the MCP protocol for efficient AI integration.
This article introduces the latest open-source capability from Higress for efficiently converting existing OpenAPI into MCP Server in batches.
This article introduces practical insights and technical principles for simplifying the complex design of MCP Servers and enhancing their operational stability.
This article introduces the integration of local file data with Spring AI applications using the Model Context Protocol (MCP) to provide context to large language models (LLMs).
This article discusses how LLMs enhance intelligence levels and the MCP protocol boosts creativity in AI, transforming traditional software through innovative integrations and open-source solutions.
Higress provides an open-source remote MCP server hosting solution to address key challenges, and the upcoming MCP market will streamline development and reduce costs for building MCP servers.
