MCP on AWS Lambda with MCPEngine

Deploying MCP Servers on AWS Lambda with MCPEngine Model Context Protocol (MCP) is quickly becoming the standard for enabling LLMs to call external tools. It’s built around clean, declarative tool definitions—but most current implementations fall short of being production-ready. Every official MCP server in the Anthropic repo, for instance, runs locally and communicates over stdio. Even the few that support HTTP rely on Server-Sent Events (SSE) for streaming. This introduces stateful behavior, requiring persistent TCP connections, complicating retries, and ultimately making it incompatible with stateless environments like AWS Lambda. We’ve written more about these limitations, and how we’ve addressed them with MCPEngine. AWS Lambda offers instant scalability, no server management, and efficient, event-driven execution. We built native support for it in MCPEngine, so that MCP tools can run cleanly and reliably in serverless environments. MCPEngine is an open-source implementation of ... Read full article.