AWS published a technical walkthrough describing how to build a serverless Model Context Protocol (MCP) server running on Amazon ECS with AWS Fargate. The server is designed to give AI agents secure, metadata-driven access to an enterprise data lake.
A notable design point is the onboarding workflow: exposing a new dataset to agents requires only a JSON file, eliminating the need to write per-dataset integration code.
Why it matters
Connecting AI agents to enterprise data typically involves custom integration work for each source. A metadata-driven approach that relies on a JSON configuration can reduce that overhead, while running the server serverlessly on managed infrastructure shifts operational burden away from teams.
Who should care
Developers and platform teams building AI agents that need access to data lake resources on AWS, as well as enterprises evaluating standardized ways to connect agents to internal datasets.