Aws S3 Bucket Utility Mcp
What is Aws S3 Bucket Utility Mcp
aws-s3-bucket-utility-mcp is an AWS S3 bucket utility designed for MCP Server, enabling users to interact seamlessly with S3 storage for various operations such as listing buckets and retrieving objects.
Use cases
Use cases include automating data retrieval from S3 for machine learning models, generating reports from CSV files stored in S3, and integrating S3 access into applications for enhanced data management.
How to use
To use aws-s3-bucket-utility-mcp, install the required dependencies using pip, set up your environment variables in an .env file, and configure the MCP client to execute the main script.
Key features
Key features include listing available S3 buckets, fetching objects from specific or all buckets, filtering to retrieve only CSV files, and reading the content of CSV files from S3.
Where to use
aws-s3-bucket-utility-mcp can be used in cloud computing environments, data analysis, and any application that requires efficient access to S3 storage for data retrieval and processing.
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
aws-s3-bucket-utility-mcp is an AWS S3 bucket utility designed for MCP Server, enabling users to interact seamlessly with S3 storage for various operations such as listing buckets and retrieving objects.
Use cases
Use cases include automating data retrieval from S3 for machine learning models, generating reports from CSV files stored in S3, and integrating S3 access into applications for enhanced data management.
How to use
To use aws-s3-bucket-utility-mcp, install the required dependencies using pip, set up your environment variables in an .env file, and configure the MCP client to execute the main script.
Key features
Key features include listing available S3 buckets, fetching objects from specific or all buckets, filtering to retrieve only CSV files, and reading the content of CSV files from S3.
Where to use
aws-s3-bucket-utility-mcp can be used in cloud computing environments, data analysis, and any application that requires efficient access to S3 storage for data retrieval and processing.
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.
