AWS Storage MCP Server

Created By

aquavis127 months ago

A Model Context Protocol (MCP) server that enables natural language interactions with AWS storage services through Amazon Q CLI.

# aws-storage

# mcp

Overview Content Tools Comments

Content

AWS Storage MCP Server

A Model Context Protocol (MCP) server that enables natural language interactions with AWS storage services through Amazon Q CLI.

Disclaimer

This project is provided "as is" without warranty of any kind, express or implied. The authors and contributors are not responsible for any damages or liabilities that may arise from using this software.

Not an Official AWS Product: This is a community project and is not officially supported by Amazon Web Services.
Use at Your Own Risk: Review all operations before executing them, especially those that modify or delete resources.
Cost Implications: Using AWS services may incur costs to your AWS account. You are responsible for monitoring and managing these costs.
Security Considerations: This tool requires AWS credentials to function. Always follow security best practices when handling credentials.
No Liability: The authors and contributors cannot be held liable for any data loss, unexpected charges, or other damages resulting from the use of this software.

What is MCP?

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). MCP enables communication between LLMs like Amazon Q and locally running MCP servers that provide additional tools and capabilities.

Why Use MCP?

Natural Language Interface: Interact with AWS services using plain English instead of complex CLI commands
Simplified Workflows: Perform complex operations with simple queries like "list my S3 buckets"
Contextual Understanding: MCP servers provide domain-specific knowledge to LLMs
Extended Capabilities: Add new functionalities to your LLM without retraining the model
Local Execution: Operations execute on your local machine with your credentials

What This Project Does

This AWS Storage MCP server connects Amazon Q to your AWS storage services, allowing you to:

Query AWS storage resources using natural language
Perform operations on AWS storage services without remembering complex commands
Get information about your storage resources in a conversational manner
Manage multiple storage services from a single interface

Architecture Diagram

Supported AWS Storage Services

Amazon S3: Object storage for any type of data
Amazon EBS: Block storage for EC2 instances
Amazon EFS: Scalable file storage for EC2 instances
Amazon FSx: Fully managed file storage built on Windows Server
AWS Storage Gateway: Hybrid cloud storage that connects on-premises environments with cloud storage
Amazon S3 Glacier: Low-cost archive storage
AWS Snow Family: Physical devices for data migration and edge computing
AWS Backup: Centralized backup service
Amazon S3 Object Lambda: Process S3 data during retrieval
Amazon S3 Glacier Deep Archive: Lowest-cost archive storage class

Prerequisites

Docker and Docker Compose
AWS CLI configured with valid credentials
Amazon Q CLI installed

Quick Start

For detailed installation instructions, please refer to the Installation Guide.
For detailed usage examples, please refer to the Usage Guide.
For practical examples and demonstrations, see the Examples Guide.

Troubleshooting

If you encounter issues:

Check Docker Container Status
```
docker ps | grep aws-storage
```

View Container Logs

docker logs aws-storage-mcp-aws-storage-mcp-1

Test the API Directly

curl -s -X POST -H "Content-Type: application/json" -d '{"tool_name": "list_aws_profiles", "parameters": {}}' http://localhost:8080/invoke

Verify AWS Credentials Make sure your AWS credentials are valid and have the necessary permissions.
Restart the Container
```
docker compose restart
```

Project Structure

aws-storage-mcp/
├── README.md               # This documentation
├── requirements.txt        # Python dependencies
├── mcp-manifest.json       # MCP server manifest
├── docker-compose.yml      # Docker configuration
├── docker-compose.override.yml # Volume mapping for AWS credentials
├── Dockerfile              # Docker build instructions
├── setup.sh                # Environment setup script
├── start-docker.sh         # Server startup script
└── src/                    # Source code
    ├── server.py           # MCP server implementation
    └── services/           # AWS service modules
        ├── __init__.py
        ├── base.py         # Base service class
        ├── s3.py           # S3 operations
        ├── ebs.py          # EBS operations
        ├── efs.py          # EFS operations
        └── ...             # Other service modules