AWS S3 MCP Server

A sample Model Context Protocol (MCP) server that lets LLMs retrieve data (currently PDFs) from AWS S3 buckets and load it into the model’s context.

• Brand: Amazon Web Services (AWS)
• Category: mcp-server-directories-lists
• Source: https://github.com/aws-samples/sample-mcp-server-s3

Features

• MCP Server for AWS S3

  • Implements a Model Context Protocol (MCP) server backed by AWS S3.
  • Designed to retrieve data such as PDF documents from S3 buckets for LLM use.

• Resources Interface

  • Exposes AWS S3 data as Resources (conceptually similar to HTTP GET endpoints).
  • Resources are used to load information directly into the LLM’s context.
  • Currently supports PDF documents only.
  • Supports up to 1000 S3 objects.

• Integration with Claude Desktop

  • Can be configured as an MCP server for Claude Desktop.
  • Configuration file locations:
    • macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
    • Windows: %APPDATA%/Claude/claude_desktop_config.json

• AWS Credentials Configuration

  • Requires AWS credentials to access S3 (details provided in the repository’s configuration section).

• Build & Publish Workflow

  • Supports building source and wheel distributions into a dist/ directory.
  • Publishing to PyPI (or similar) uses credentials provided via:
    • --token or UV_PUBLISH_TOKEN
    • --username or UV_PUBLISH_USERNAME
    • --password or UV_PUBLISH_PASSWORD

• Debugging Support

  • MCP server runs over stdin/stdout (stdio).
  • Recommended debugging workflow via the MCP Inspector tool.

Pricing

• Pricing: Not specified. The project is published as an open-source sample on GitHub; see the LICENSE file in the repository for licensing and usage terms.