Aws S3 Bucket Utility Mcp Server
What is Aws S3 Bucket Utility Mcp Server
The aws-s3-bucket-utility-mcp-server is an AWS S3 access tool designed for MCP Clients, enabling seamless interaction with S3 storage. It allows users to list available buckets, retrieve stored objects, and filter for CSV files, with built-in async support using aioboto3.
Use cases
Use cases include automating data retrieval for machine learning models, managing large datasets stored in S3, and integrating S3 access into applications that require CSV data processing.
How to use
To use the aws-s3-bucket-utility-mcp-server, install the required dependencies with ‘pip install aioboto3 mcp[cli] python-dotenv’. Configure your AWS credentials and bucket access in an .env file, then run the tool using the specified command in your MCP Client configuration.
Key features
Key features include the ability to list available S3 buckets, fetch objects from specific or all buckets, filter and retrieve only CSV files, and read the content of a CSV file from S3.
Where to use
This tool is suitable for developers and organizations that need to automate and streamline access to AWS S3 storage, particularly in data processing, analytics, and machine learning applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Aws S3 Bucket Utility Mcp Server
The aws-s3-bucket-utility-mcp-server is an AWS S3 access tool designed for MCP Clients, enabling seamless interaction with S3 storage. It allows users to list available buckets, retrieve stored objects, and filter for CSV files, with built-in async support using aioboto3.
Use cases
Use cases include automating data retrieval for machine learning models, managing large datasets stored in S3, and integrating S3 access into applications that require CSV data processing.
How to use
To use the aws-s3-bucket-utility-mcp-server, install the required dependencies with ‘pip install aioboto3 mcp[cli] python-dotenv’. Configure your AWS credentials and bucket access in an .env file, then run the tool using the specified command in your MCP Client configuration.
Key features
Key features include the ability to list available S3 buckets, fetch objects from specific or all buckets, filter and retrieve only CSV files, and read the content of a CSV file from S3.
Where to use
This tool is suitable for developers and organizations that need to automate and streamline access to AWS S3 storage, particularly in data processing, analytics, and machine learning applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
AWS 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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
