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Signed-off-by: yihong0618 <zouzou0208@gmail.com>
262 lines
7.3 KiB
Markdown
262 lines
7.3 KiB
Markdown
[](https://rustfs.com)
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# RustFS MCP Server - Model Context Protocol
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<p align="center">
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<strong>High-performance MCP server providing S3-compatible object storage operations for AI/LLM integration</strong>
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</p>
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<p align="center">
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<a href="https://github.com/rustfs/rustfs/actions/workflows/ci.yml"><img alt="CI" src="https://github.com/rustfs/rustfs/actions/workflows/ci.yml/badge.svg" /></a>
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<a href="https://docs.rustfs.com/">📖 Documentation</a>
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<a href="https://github.com/rustfs/rustfs/issues">🐛 Bug Reports</a>
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<a href="https://github.com/rustfs/rustfs/discussions">💬 Discussions</a>
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</p>
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---
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## 📖 Overview
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**RustFS MCP Server** is a high-performance [Model Context Protocol (MCP)](https://spec.modelcontextprotocol.org) server that provides AI/LLM tools with seamless access to S3-compatible object storage operations. Built with Rust for maximum performance and safety, it enables AI assistants like Claude Desktop to interact with cloud storage through a standardized protocol.
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### What is MCP?
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The Model Context Protocol is an open standard that enables secure, controlled connections between AI applications and external systems. This server acts as a bridge between AI tools and S3-compatible storage services, providing structured access to file operations while maintaining security and observability.
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## ✨ Features
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### Supported S3 Operations
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- **List Buckets**: List all accessible S3 buckets
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- **List Objects**: Browse bucket contents with optional prefix filtering
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- **Upload Files**: Upload local files with automatic MIME type detection and cache control
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- **Get Objects**: Retrieve objects from S3 storage with read or download modes
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## 🔧 Installation
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### Prerequisites
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- Rust 1.70+ (for building from source)
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- AWS credentials configured (via environment variables, AWS CLI, or IAM roles)
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- Access to S3-compatible storage service
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### Build from Source
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```bash
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# Clone the repository
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git clone https://github.com/rustfs/rustfs.git
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cd rustfs
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# Build the MCP server
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cargo build --release -p rustfs-mcp
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# The binary will be available at
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./target/release/rustfs-mcp
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```
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## ⚙️ Configuration
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### Environment Variables
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```bash
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# AWS Credentials (required)
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export AWS_ACCESS_KEY_ID=your_access_key
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export AWS_SECRET_ACCESS_KEY=your_secret_key
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export AWS_REGION=us-east-1 # Optional, defaults to us-east-1
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# Optional: Custom S3 endpoint (for MinIO, etc.)
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export AWS_ENDPOINT_URL=http://localhost:9000
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# Logging level (optional)
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export RUST_LOG=info
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```
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### Command Line Options
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```bash
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rustfs-mcp --help
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```
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The server supports various command-line options for customizing behavior:
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- `--access-key-id`: AWS Access Key ID for S3 authentication
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- `--secret-access-key`: AWS Secret Access Key for S3 authentication
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- `--region`: AWS region to use for S3 operations (default: us-east-1)
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- `--endpoint-url`: Custom S3 endpoint URL (for MinIO, LocalStack, etc.)
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- `--log-level`: Log level configuration (default: rustfs_mcp_server=info)
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## 🚀 Usage
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### Starting the Server
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```bash
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# Start the MCP server
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rustfs-mcp
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# Or with custom options
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rustfs-mcp --log-level debug --region us-west-2
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```
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### Integration with chat client
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#### Option 1: Using Command Line Arguments
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```json
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{
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"mcpServers": {
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"rustfs-mcp": {
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"command": "/path/to/rustfs-mcp",
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"args": [
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"--access-key-id", "your_access_key",
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"--secret-access-key", "your_secret_key",
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"--region", "us-west-2",
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"--log-level", "info"
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]
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}
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}
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}
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```
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#### Option 2: Using Environment Variables
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```json
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{
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"mcpServers": {
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"rustfs-mcp": {
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"command": "/path/to/rustfs-mcp",
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"env": {
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"AWS_ACCESS_KEY_ID": "your_access_key",
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"AWS_SECRET_ACCESS_KEY": "your_secret_key",
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"AWS_REGION": "us-east-1"
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}
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}
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}
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}
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```
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### Using MCP with Docker
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#### Docker image build
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Using MCP with docker will simply the usage of rustfs mcp. Building the docker image with below command:
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```
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docker build -f Dockerfile -t rustfs/rustfs-mcp ../../
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```
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Alternatively, if you want to build the image from the rustfs codebase root directory,run the command:
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```
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docker build -f crates/mcp/Dockerfile -t rustfs/rustfs-mcp .
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```
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#### IDE Configuration
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Adding the following content in IDE MCP settings:
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```
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{
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"mcpServers": {
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"rustfs-mcp": {
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"command": "docker",
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"args": [
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"run",
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"--rm",
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"-i",
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"-e",
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"AWS_ACCESS_KEY_ID",
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"-e",
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"AWS_SECRET_ACCESS_KEY",
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"-e",
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"AWS_REGION",
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"-e",
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"AWS_ENDPOINT_URL",
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"rustfs/rustfs-mcp"
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],
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"env": {
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"AWS_ACCESS_KEY_ID": "rustfs_access_key",
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"AWS_SECRET_ACCESS_KEY": "rustfs_secret_key",
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"AWS_REGION": "cn-east-1",
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"AWS_ENDPOINT_URL": "rustfs_instance_url"
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}
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}
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}
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}
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```
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If success, MCP configure page will show the [available tools](#️-available-tools).
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## 🛠️ Available Tools
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The MCP server exposes the following tools that AI assistants can use:
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### `list_buckets`
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List all S3 buckets accessible with the configured credentials.
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**Parameters:** None
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### `list_objects`
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List objects in an S3 bucket with optional prefix filtering.
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**Parameters:**
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- `bucket_name` (string): Name of the S3 bucket
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- `prefix` (string, optional): Prefix to filter objects
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### `upload_file`
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Upload a local file to S3 with automatic MIME type detection.
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**Parameters:**
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- `local_file_path` (string): Path to the local file
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- `bucket_name` (string): Target S3 bucket
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- `object_key` (string): S3 object key (destination path)
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- `content_type` (string, optional): Content type (auto-detected if not provided)
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- `storage_class` (string, optional): S3 storage class
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- `cache_control` (string, optional): Cache control header
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### `get_object`
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Retrieve an object from S3 with two operation modes: read content directly or download to a file.
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**Parameters:**
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- `bucket_name` (string): Source S3 bucket
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- `object_key` (string): S3 object key
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- `version_id` (string, optional): Version ID for versioned objects
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- `mode` (string, optional): Operation mode - "read" (default) returns content directly, "download" saves to local file
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- `local_path` (string, optional): Local file path (required when mode is "download")
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- `max_content_size` (number, optional): Maximum content size in bytes for read mode (default: 1MB)
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### `create_bucket`
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Create a new S3 bucket with the specified name.
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**Parameters:**
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- `bucket_name` (string): Source S3 bucket.
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### `delete_bucket`
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Delete the specified S3 bucket. If the bucket is not empty, the deletion will fail. You should delete all objects and objects inside them before calling this method.**WARNING: This operation will permanently delete the bucket and all objects within it!**
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- `bucket_name` (string): Source S3 bucket.
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## Architecture
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The MCP server is built with a modular architecture:
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```
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rustfs-mcp/
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├── src/
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│ ├── main.rs # Entry point, CLI parsing, and server initialization
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│ ├── server.rs # MCP server implementation and tool handlers
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│ ├── s3_client.rs # S3 client wrapper with async operations
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│ ├── config.rs # Configuration management and CLI options
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│ └── lib.rs # Library exports and public API
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└── Cargo.toml # Dependencies, metadata, and binary configuration
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```
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