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by Geun-Oh • File & Storage
An MCP server that exposes Amazon S3 buckets to Model Context Protocol clients, with efficient streaming for large files such as PDFs.
List and filter objects in an S3 bucket (e.g., by prefix) to discover available context files.
Retrieve large S3 objects (PDFs, binaries) via streaming to avoid high memory usage and enable processing of large files.
Integrate S3-hosted content into MCP-based pipelines, receiving object streams and metadata for downstream processing.
This project provides a lightweight MCP-compatible server to list and retrieve objects from S3 buckets, supporting prefix filtering and streaming downloads to handle large files without loading them fully into memory. It includes a CLI, TypeScript source, and environment-variable based AWS credential configuration for secure operation. Designed for easy integration into mcp.json, it returns object streams and metadata (content type, length, lastModified) to downstream agents and services.
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