S3 Tools
Provides tools for interacting with AWS S3 buckets.
s3-tools MCP Server
An MCP server that provides tools for interacting with AWS S3 buckets. This server enables direct access to S3 bucket operations through the Model Context Protocol.
Features
Tools
The server currently implements the following tools:
- list-s3-buckets: Lists all S3 buckets in your AWS account
- Optional
regionparameter to specify AWS region - Returns a formatted list of bucket names
- Optional
Prerequisites
- Python 3.13 or higher
- AWS credentials configured (see AWS Credentials Setup)
- uv package manager
Installation
From PyPI
uvx install s3-tools
From Source
- Clone the repository
- Install using uv:
uv pip install .
AWS Credentials Setup
This server requires AWS credentials to access your S3 buckets. You can configure credentials in several ways:
-
AWS CLI configuration (Recommended)
aws configureThis will create/update credentials in
~/.aws/credentials -
Environment Variables
export AWS_ACCESS_KEY_ID="your_access_key" export AWS_SECRET_ACCESS_KEY="your_secret_key" export AWS_DEFAULT_REGION="your_preferred_region" # optional -
IAM Role (if running on AWS infrastructure)
For more information about AWS credentials, see the AWS documentation.
Configuration
Claude Desktop
Add the server configuration to your Claude Desktop config file:
MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Windows: %APPDATA%/Claude/claude_desktop_config.json
{
"mcpServers": {
"s3-tools": {
"command": "uvx",
"args": ["s3-tools"]
}
}
}
Development Configuration
For development/testing, you can run the server directly from source:
{
"mcpServers": {
"s3-tools": {
"command": "uv",
"args": [
"--directory",
"/path/to/s3-tools",
"run",
"s3-tools"
]
}
}
}
Development
Building
- Sync dependencies:
uv sync
- Build package:
uv build
Publishing
To publish to PyPI:
uv publish
Note: You'll need PyPI credentials configured via:
- Token:
--tokenorUV_PUBLISH_TOKEN - Or username/password:
--username/UV_PUBLISH_USERNAMEand--password/UV_PUBLISH_PASSWORD
Debugging
Since MCP servers communicate over stdio, debugging can be challenging. We recommend using the MCP Inspector for development:
npx @modelcontextprotocol/inspector uv run s3-tools
License
MIT
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
Related Servers
MCP Backup Server
A server for backing up and restoring data for AI agents and code editing tools.
MinIO
MCP server and client for MinIO object storage, configured via environment variables.
Tencent Cloud COS MCP
Quickly integrate with Tencent Cloud Storage (COS) and Data Processing (CI) capabilities powered
The Drive AI
Interact with The Drive AI files directly from AI assistants like ChatGPT or Claude using the Model Context Protocol (MCP).
s3-tools MCP Server
Provides tools for interacting with AWS S3 buckets.
Dropbox by CData
A read-only MCP server by CData that allows LLMs to query live Dropbox data. Requires the CData JDBC Driver for Dropbox.
Storacha MCP Storage Server
An MCP server for Storacha hot storage, enabling AI applications to store and retrieve files using IPFS and CIDs.
OSS MCP Server
A local server for uploading files to Alibaba Cloud Object Storage Service (OSS).
AWS S3 MCP Server
An MCP server for managing files and buckets on AWS S3. Requires AWS credentials for authentication.
Dropbox MCP
An MCP server for integrating with Dropbox, allowing clients to interact with files and folders.