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MCP S3 File Uploader

by dayongd1

MCP S3 File Manager

S3 file operations for AI workflows - Upload, download, and manage files in Amazon S3 through Model Context Protocol (MCP).

Perfect for AI assistants like Claude, Cursor, and any MCP-compatible client.

⚡ Quick Start

# Install and run (requires AWS credentials) uvx mcp-s3 --root ~/uploads # Or install globally pip install mcp-s3

🔧 Setup

1. AWS Credentials

Create .env file in your project:

AWS_ACCESS_KEY_ID=your_access_key AWS_SECRET_ACCESS_KEY=your_secret_key AWS_DEFAULT_REGION=us-east-1 S3_BUCKET_NAME=your-bucket-name

2. Add to Your AI Tool

Cursor IDE - Add to settings.json:

{ "mcp": { "servers": { "s3": { "command": "uvx", "args": ["mcp-s3", "--root", "~/uploads"], "env": { "AWS_ACCESS_KEY_ID": "your_key", "AWS_SECRET_ACCESS_KEY": "your_secret", "S3_BUCKET_NAME": "your-bucket" } } } } }

Claude Desktop - Add to config:

{ "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" } } } }

🛠️ What You Can Do

Upload Files

@mcp Upload my config.json file to S3 @mcp Upload the backup.zip with 2-hour expiration @mcp Upload report.pdf with force overwrite enabled
  • Preserves original filenames (config.jsonconfig.json)
  • Prevents accidental overwrites (fails if file exists)
  • Force overwrite option for intentional replacements
  • Progress tracking for large files

Download Files

@mcp Download config.json from S3 to ./downloads/ @mcp Download backup-2024.zip from S3

List Files

@mcp List all files in S3 @mcp List files starting with "logs/" @mcp Show me the first 50 files in the bucket

Get File Info

@mcp Get info about config.json in S3 @mcp Show details for backup.zip

🚀 For Software Engineers

Common Workflows

1. Backup & Share Code

# Upload project files @mcp Upload my entire src/ directory to S3 @mcp Generate a 7-day URL for team-config.json

2. CI/CD Integration

# In your deployment scripts mcp-s3 --root ./build upload dist.tar.gz

3. Log Management

# Upload application logs @mcp Upload today's error.log to S3 @mcp List all log files from this month

4. Asset Management

# Manage project assets @mcp Upload design-assets.zip @mcp Download latest-assets.zip to ./assets/

Development Setup

git clone https://github.com/dayongd1/mcp-s3.git cd mcp-s3 uv sync uv run mcp-s3 --root ~/test-uploads

Testing

# Test basic functionality python examples/test_mcp_server.py # Test naming conflicts python examples/test_naming_conflicts.py # Test all features python examples/test_download.py python examples/test_list_files.py python examples/test_get_file_info.py

🔒 Security Notes

  • Path Safety: Prevents directory traversal attacks
  • Credential Management: Uses environment variables (never hardcode keys)
  • Presigned URLs: Time-limited access (default 24 hours)
  • Conflict Detection: Prevents accidental file overwrites

📦 Installation Options

# Run without installing (recommended) uvx mcp-s3 # Install globally pip install mcp-s3 # Development install git clone && uv sync

🚨 Troubleshooting

"Bucket not found"

# Check your bucket name and region aws s3 ls s3://your-bucket-name

"Access denied"

# Verify AWS credentials python examples/test_aws_connection.py

"File already exists"

# Use force overwrite or rename the file @mcp Upload config.json with force overwrite enabled
  • PyPI: https://pypi.org/project/mcp-s3/
  • GitHub: https://github.com/dayongd1/mcp-s3
  • MCP Docs: https://modelcontextprotocol.io/
  • AWS S3 Setup: See AWS_SETUP_GUIDE.md

Built with FastMCP | Python 3.10+ | MIT License

-
security - not tested
A
license - permissive license
-
quality - not tested

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

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.

  1. ⚡ Quick Start
    1. 🔧 Setup
      1. 1. AWS Credentials
      2. 2. Add to Your AI Tool
    2. 🛠️ What You Can Do
      1. Upload Files
      2. Download Files
      3. List Files
      4. Get File Info
    3. 🚀 For Software Engineers
      1. Common Workflows
      2. Development Setup
      3. Testing
    4. 🔒 Security Notes
      1. 📦 Installation Options
        1. 🚨 Troubleshooting
          1. 📚 Links

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