"Amazon S3" matching MCP servers:

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.

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

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 interaction with AWS S3 buckets to list buckets and objects, retrieve files, and expose PDF documents as resources that can be loaded into the LLM's context.

Provides secure access to AWS S3 buckets through pre-signed URLs, enabling listing, downloading, uploading, and deleting objects.

Enables sending documents (Markdown, PDF, EPUB) directly to a Kindle via Amazon Send-to-Kindle email, with Markdown converted to EPUB using pandoc.

Enables read-only SQL querying and exploration of data files (CSV, Parquet, JSON, Excel, etc.) via DuckDB, supporting local paths, globs, URLs, and S3 buckets.

Provides unified access to multiple file systems (local, S3, WebDAV, etc.) through OpenDAL, enabling file operations and cross-backend management.

Provides tools for interacting with MinIO and S3-compatible object storage through MCP clients like Claude. It enables comprehensive bucket and object management, including listing, creating, uploading, and generating presigned URLs.

A Model Context Protocol server that provides seamless access to multiple storage services including S3, Azure Blob Storage, and Google Cloud Storage through Apache OpenDAL™.

Converts Markdown files and content to styled PDFs with S3 integration, Mermaid diagrams, and ApexCharts support, supporting stdio, HTTP, and SSE transport modes.

Provides virtual filesystem workspaces with full file operations (read, write, ls, tree, mkdir, rm, mv, cp, cd, pwd, find, grep) and checkpoint management. Supports multiple storage providers (memory, filesystem, sqlite, s3) with session, user, and shared scopes.

A Model Context Protocol server that provides persistent storage, categorization, and retrieval of bookmarks through AI clients like Claude. It allows users to manage web links using custom categories and includes options for local JSON storage or AWS S3 synchronization.

Enables LLM and AI agent clients to manage S3-compatible object storage such as MinIO, AWS S3, Aliyun OSS, Cloudflare R2, and Tencent COS through the Model Context Protocol. It provides 19 production-grade tools covering bucket lifecycle, object browsing, search, text and byte-range reads, streaming uploads/downloads, presigned URLs, moves, batch deletion, and tag management, protected by read-only, sandbox, prefix-deletion, and content-truncation guards.

Provides custom prompts for Amazon Q by serving markdown files from the local filesystem as prompt templates through the Model Context Protocol.

Lightweight object storage with S3, HTTP, and MCP interfaces, enabling AI agents to store and retrieve files via structured tool definitions.

Enables AI agents to search, read, create, update, and delete notes in an Obsidian vault over the Model Context Protocol, running either locally against vault files or in the cloud through an S3-synced bucket, with optional semantic search that turns the vault into always-available agent memory.

It Integration for MinIO / S3-compatible object storage, providing AI assistants with direct access to bucket management, object CRUD, presigned URLs, policies, lifecycle rules, and storage analytics.