"Amazon S3" matching MCP servers:

This read-only MCP Server allows you to connect to Amazon S3 data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

Enables MCP clients to connect to AWS S3 buckets, list, upload, and read objects in various formats, supporting public and private buckets with multiple transport modes.

Enables AI assistants to explore and manage S3-compatible object storage (AWS S3, RustFS, MinIO, Cloudflare R2) by listing buckets and objects, inspecting metadata, and reading object contents with capped range requests. Write operations such as upload and delete are available but disabled unless explicitly enabled, with optional bucket allow-listing and custom TLS trust.

Enables file uploads to AWS S3 buckets with automatic MIME type detection.

An Amazon S3 Model Context Protocol server that allows Large Language Models like Claude to interact with AWS S3 storage, providing tools for listing buckets, listing objects, and retrieving object contents.

The CHUK MCP S3 Bucket Manager is a Python-based tool for managing Amazon S3 buckets using the MCP runtime. This utility provides a simple interface for listing, creating, and deleting S3 buckets.

Enables browsing S3 buckets and objects, and generating secure presigned URLs for downloads and uploads, through natural language commands in MCP clients like Claude Desktop.

Enables comprehensive management of AWS S3 Tables including table bucket, namespace, table CRUD, metadata, maintenance, and data import operations through natural language.

MCP server for AWS S3 — list buckets, browse objects, upload/download files, and generate presigned URLs.

Enables interaction with S3-compatible storage services like AWS S3 and Cloudflare R2, supporting bucket management, object listing, reading, uploading, and deletion operations.

Enables managing and interacting with any S3-compatible storage endpoint through MCP tools for listing, reading, writing, copying, and deleting buckets and objects.

A high-performance Model Context Protocol (MCP) server that provides seamless integration with Amazon DataZone services. This server enables AI assistants and applications to interact with Amazon DataZone APIs through a standardized interface.

Provides access to Amazon Bedrock's Nova Canvas model for AI image generation.

An MCP server that provides tools for interacting with AWS S3 buckets, enabling direct access to S3 operations through the Model Context Protocol.

This server enables interaction with Amazon S3 buckets for listing and retrieving objects, with efficient streaming for large files like PDFs, through the Model Context Protocol.

MCP server for AWS S3 and compatible object stores, enabling LLM clients to browse buckets and fetch objects.

Enables interaction with AWS S3 through MCP, supporting bucket and object management, lifecycle configurations, tagging, policies, CORS settings, presigned URLs, and file uploads/downloads.

A standardized interface for interacting with AWS S3 tools and services through a unified API, following the MCP specification.

Enables secure file uploads to Amazon S3 with progress tracking and presigned URL generation. Provides automatic UUID-based file naming and time-limited access URLs for uploaded files.

Enables agents to interact with any S3-compatible storage (AWS S3, LocalStack, MinIO) via MCP, providing tools like list, read, write, delete objects and buckets.