MCP S3
The MCP S3 File Manager is a tool for uploading, downloading, and managing Amazon S3 files via the Model Context Protocol (MCP), designed specifically for AI assistants and workflows.
2 points
7.2K

What is the MCP S3 File Manager?

The MCP S3 File Manager is a bridge tool that connects AI assistants with the Amazon S3 storage service. It allows users to manage files in cloud storage through simple natural language commands, eliminating the need to directly operate the AWS console or write complex code.

How to use the MCP S3 File Manager?

Simply install the tool and configure AWS credentials, then use the @mcp command in supported AI clients (such as Claude, Cursor) to operate on S3 files. The system will automatically handle complex tasks such as file transfer, permission management, and conflict detection.

Use cases

It is particularly suitable for AI collaboration scenarios that require frequent file exchange, such as team - sharing configuration files, backing up project code, managing training datasets, or distributing generated content.

Main Features

Intelligent File Upload
Supports uploading a single file or an entire directory. Automatically retains the original file name and prevents accidental overwriting.
Secure File Download
Provides pre - signed URL download links with time limits to ensure the security of file access.
Conflict Detection Mechanism
Automatically detects files with the same name to prevent accidental data loss and supports the forced overwrite option.
Transfer Progress Tracking
Displays the progress of large - file transfers in real - time and provides an estimated remaining time.
Advantages
Allows operating S3 storage without AWS expertise
Seamlessly integrates with mainstream AI tools
Automatically handles complex permission and authentication processes
Provides intuitive progress feedback and error prompts
Limitations
Requires pre - configuring AWS credentials
Relies on an MCP - compatible client environment
The transfer speed of large files is limited by network bandwidth

How to Use

Install the Tool
Install via pip or run the tool directly.
Configure AWS Credentials
Create a.env file or add AWS access keys to the client configuration.
Integrate into AI Clients
Add MCP server settings to the configuration of tools such as Cursor or Claude.

Usage Examples

Backup Project Code
Regularly back up the source code in local development to S3.
Team Configuration Sharing
Share project configuration files with team members.
Log Management
Collect and analyze distributed system logs.

Frequently Asked Questions

How to solve the 'Bucket not found' error?
What if uploading a large file fails?
How to set a different bucket?

Related Resources

GitHub Repository
Project source code and issue tracking
PyPI Page
Official Python package release
MCP Protocol Documentation
Official description of the Model Context Protocol

Installation

Copy the following command to your Client for configuration
{
  "mcpServers": {
    "s3": {
      "command": "mcp-s3",
      "args": ["--root", "~/uploads"],
      "env": {
        "AWS_ACCESS_KEY_ID": "your_key",
        "AWS_SECRET_ACCESS_KEY": "your_secret",
        "S3_BUCKET_NAME": "your-bucket"
      }
    }
  }
}
Note: Your key is sensitive information, do not share it with anyone.

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