Deploying Node.js MCP Servers on Azure Functions for Scalable AI Agent Hosting
Introduction to Hosting MCP Servers for AI Agents The Model Context Protocol (MCP) is gaining attention for building AI agents that interact efficiently with models and data. Deploying these MCP servers in production demands a hosting solution that ensures reliability, scalability, and cost control. This article explores how Azure Functions, a serverless platform, can meet these needs for Node.js MCP servers. Understanding the Model Context Protocol (MCP) MCP defines a communication standard that allows AI agents to manage model contexts flexibly. By implementing MCP in Node.js, developers create servers that handle agent requests and maintain context for intelligent responses. Hosting these servers effectively is critical to support AI agent performance in real-world applications. Challenges in Hosting MCP Servers Running MCP servers traditionally requires managing infrastructure, scaling resources during demand spikes, and controlling operational costs. Manual scaling can ...