Today, AWS announces the general availability of Model Context Protocol (MCP) Server for Amazon S3 Tables as a part of AWS MCP Servers. Now, you can use natural language to interact with S3 Tables through your preferred large language model (LLM), eliminating the need to write SQL queries.
With the MCP Server for Amazon S3 Tables, you can safely create, populate, and query S3 Tables with natural language. The MCP Server provides AWS tools, resources, and contextual information that your AI assistants can use to operate on S3 Tables. To get started, install the latest version of AWS MCP Servers with an AI client software like Cline, Claude Code, or Cursor and configure your AWS account and permissions to start operating on S3 Tables.
To learn more about MCP Server for Amazon S3 Tables, read our blog. To download and try out MCP Server for Amazon S3 Tables, visit the aws-labs GitHub repository.
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Source: Amazon Web Services
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