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AWS Engineers Describe a Serverless MCP Gateway for Data Lake Access

1 reports 1 reporting sources Updated 54 minutes ago

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AWS engineers described a serverless Model Context Protocol (MCP) server on Amazon ECS Fargate that gives AI agents a shared gateway to an enterprise data lake. The architecture uses Amazon Bedrock Knowledge Bases to index dataset metadata, avoiding separate integration code for each dataset. To add a dataset, teams provide a metadata JSON file and can optionally add a context mapping that narrows which tables an agent searches. In testing, a scoped end-to-end interaction took 15–20 seconds.

Generated by AI from reports · Updated 45 minutes ago

Latest development11/7 01:13 (UTC+8)
How Amazon Built a Serverless MCP Gateway for Data Lake AccessAWS Machine Learning Blog

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11/7
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    How Amazon Built a Serverless MCP Gateway for Data Lake Access

    Amazon engineers describe a serverless Model Context Protocol server on Amazon ECS Fargate that gives AI agents a shared gateway to an enterprise data lake. Adding a dataset requires a metadata JSON file, which a pipeline indexes into Amazon Bedrock Knowledge Bases; optional context mappings narrow the tables an agent searches. In testing, the scoped end-to-end interaction took 15–20 seconds.

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