Allows execution of AWS CLI commands through Node.js, enabling management of AWS resources like S3 buckets and EC2 instances directly from Claude.
Uses TypeScript to implement an MCP server that exposes AWS CLI functionality, providing tools to execute commands and retrieve service information for AWS services.
AWS CLI MCP Server
An MCP (Model Context Protocol) server that lets you generate and execute AWS CLI commands directly from Claude.
Features
- Execute AWS CLI commands through the MCP protocol
- Get detailed information about AWS services
- List available AWS services
- Full access to AWS CLI capabilities
Tools
- execute-aws-command: Execute AWS CLI commands
- Parameters:
command
: AWS service (e.g., s3, ec2, lambda)subcommand
(optional): Command to execute (e.g., ls, describe-instances)options
(optional): Command options as key-value pairs
- Parameters:
- get-service-details: Get details about a specific AWS service
- Parameters:
service
: AWS service name (e.g., s3, ec2, lambda)
- Parameters:
Resources
- aws-services://list: List available AWS services
Setup and Installation
Prerequisites
- Node.js (v20 or later recommended)
- npm or yarn
- AWS CLI installed and configured with credentials
- TypeScript
Local Installation
- Clone this repository:
- Install dependencies:
- Build the project:
- Ensure AWS CLI is configured:
- Start the MCP server:
Integration with Claude Desktop
Add this to your claude_desktop_config.json
:
After building the project, you can use:
Example Usage in Claude
List S3 Buckets
Create an S3 Bucket
Get EC2 Service Details
Security Notes
- This server executes AWS CLI commands with the same permissions as your configured AWS credentials
- Be careful about who can access this server
- Consider implementing additional authentication for production use
License
MIT License
This server cannot be installed
hybrid server
The server is able to function both locally and remotely, depending on the configuration or use case.
An MCP server that enables Claude to generate and execute AWS CLI commands, allowing users to manage AWS resources through natural language conversations.
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