AWS Data Processing MCP Server

Does your C-suite want to give their AI agent access to your data?

This could be a nightmare if done incorrectly.

What if the agent decides to start writing willy-nilly or worse, drop your entire DB because it doesn’t like the schema? It's easy enough to create a read-only user, but that still leaves problems.

Even with a read-only user, it could read PII(Personally Identifiable Information) and somehow manage to leak that to the internet.

Or it could spam your production DB with massive queries, causing it to slow and increase latency for your users.

For all these reasons and more, I would recommend using a Data Lake for business intelligence work.

My favorite being the AWS Kinesis, Firehose, S3, Glue, Athena stack.

I’ve done a lot of content on this stack previously, so I will not go into that stack in detail right now.

What I will tell you is that one of the many MCP servers AWS has released is the AWS Data Processing MCP Server, which has both Glue and Athena capabilities.

This could offer an elegant solution to give the less infosec/DevOps minded people in your business direct access to vital Business Intelligence data.

With that said, if you want help getting the most out of your data on AWS, feel free to reach out and let’s set up a time to chat.