About AWS S3 AccessTool
AWS S3 AccessTool is a Python S3 utility for MCP clients, letting LLMs list buckets, retrieve objects, and read CSV content. It supports asynchronous access and optional bucket restrictions through environment variables.
Key features
- 01List S3 buckets
- 02Fetch objects from selected or all buckets
- 03Filter and retrieve CSV files
- 04Read CSV content from S3
- 05Asynchronous access
Use cases
- 01Inventory accessible S3 buckets
- 02Retrieve objects stored in buckets
- 03Read CSV data from S3
MCP support
The tool provides MCP clients with access to S3 buckets and objects, including CSV filtering and content reading.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEAWS S3 access tool for MCP Clients 🪣⚙️ 
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
- ✅ 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
Requirements
Ensure you have the following dependencies installed:
pip install aioboto3 mcp[cli] python-dotenv
Environment 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 access
MCP Client Configuration
-
Configuration for Cursor.ai
{ "mcpServers": { "AWS-S3-AccessTool": { "command": "python", "args": ["C:your-absolute-path-to-the-file\\main.py"] } } }
License ⚖️
This project is open-source and available under the MIT License.
Comments
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