AWS S3 AccessTool
About
A tool written in complete python following the MCP(model context protocol). LLM can leverage this tool to work with aws S3 buckets
Details
- Author
- abdullahsayyad
- GitHub stars
- 1
- Downloads
- 398
- Categories
- Other, File Management
Jump to
- List available S3 buckets
- Fetch objects from specific or all buckets
- Filter and retrieve only CSV files
- Read the content of a CSV file from S3
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
AWS S3 AccessToolCommand (node, npx, python, etc.)Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
Install dependencies: pip install aioboto3 mcp[cli] python-dotenv. Set environment variables AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION, and optionally S3_BUCKETS to restrict access. Then configure your MCP client (e.g., Cursor.ai) with the command python and the absolute path to main.py.
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"aws s3 accesstool": {
"AWS-S3-AccessTool": {
"command": "python",
"args": [
"C:your-absolute-path-to-the-file\\main.py"
]
}
}
}
}
McpServers
{
"AWS-S3-AccessTool": {
"command": "python",
"args": [
"C:your-absolute-path-to-the-file\\main.py"
]
}
}
AWS S3 access tool for MCP Clients πͺ£βοΈ
This tool is an AWS S3 bucket utility built for MCP Server, allowing seamless interaction with S3 storage. It lets LLMs list available buckets, retrieve stored objects, and filter for CSV files, with built-in async support using aioboto3. Developers can integrate either locally or via Docker. The tool is optimized for automation, making S3 access smoother and more scalable.
https://github.com/user-attachments/assets/976dce46-6ee3-4c1a-b5eb-8ca1575df099
The tool supports environment-based bucket selection, meaning you can restrict access to specific buckets using an .env file.
Key Features
- β List available S3 buckets - β Fetch objects from specific or all buckets - β Filter and retrieve only CSV files - β Read the content of a CSV file from S3Requirements
Ensure you have the following dependencies installed: pip install aioboto3 mcp[cli] python-dotenvEnvironment Setup
AWS_ACCESS_KEY_ID=your_access_key AWS_SECRET_ACCESS_KEY=your_secret_key AWS_REGION=your_region S3_BUCKETS=bucket1,bucket2 # (Optional) List of buckets to accessMCP Client Configuration
- Configuration for Cursor.ai { "mcpServers": { "AWS-S3-AccessTool": { "command": "python", "args": ["C:your-absolute-path-to-the-file\\main.py"] } } }License βοΈ
This project is open-source and available under the MIT License.Sign in to leave a review
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