AWS MCP Server
The AWS MCP Server connects MCP-aware AI tools with AWS CLI, allowing secure execution of cloud management commands and resource retrieval. It supports command documentation, execution, and piping, providing a streamlined interface for managing AWS resources through AI assistants like Claude and Cursor.
Added on:
Created by:
Apr 10 2025
The AWS MCP Server connects MCP-aware AI tools with AWS CLI, allowing secure execution of cloud management commands and resource retrieval. It supports command documentation, execution, and piping, providing a streamlined interface for managing AWS resources through AI assistants like Claude and Cursor.
Added on:
Created by:
Apr 10 2025
Alexei Ledenev
Featured
What is AWS MCP Server?
The AWS MCP Server is a lightweight, containerized service that facilitates AI assistants in executing AWS CLI commands. It acts as a protocol bridge, enabling tools like Claude and Cursor to perform cloud infrastructure management tasks securely. The server supports detailed command documentation, execution with command piping, access to AWS resources, and predefined prompt templates for common operations such as resource creation, security audits, and cost optimization. It leverages Docker for consistent deployment, with security focused on IAM least privilege, command validation, and process isolation. The server can be configured with environment variables for AWS profiles, regions, and security modes, ensuring secure and flexible operation across various environments.
Who will use AWS MCP Server?
- AI developers integrating cloud management capabilities
- Cloud administrators managing AWS resources via AI assistants
- DevOps teams automating AWS infrastructure tasks
- Security auditors performing AWS security checks
- Cost optimization specialists analyzing cloud expenses
How to use the AWS MCP Server?
- Step 1: Clone the repository from GitHub
- Step 2: Run the server using Docker (recommended) with 'docker compose up -d' or build and run the container
- Step 3: Configure environment variables for AWS credentials, profile, region, and security mode as needed
- Step 4: Integrate with your MCP-aware AI assistant by updating configuration files to include the server's endpoint
- Step 5: Use your AI assistant to send commands or request documentation, leveraging prompt templates if desired
- Step 6: Monitor command execution and review results through the AI interface
AWS MCP Server's Core Features & Benefits
The Core Features
- Retrieve AWS CLI documentation
- Execute AWS CLI commands
- Support command piping and filtering
- Access AWS resource information (regions, profiles, etc.)
- Predefined prompt templates for common tasks
- Docker-based deployment
- Leverages existing AWS credentials
The Benefits
- Secure execution within containerized environments
- Simplifies complex AWS management via AI assistants
- Supports cross-platform deployment with Docker
- Reduces risk by enforcing command validation and security policies
- Enhances productivity with predefined templates
- Enables seamless integration with popular AI tools
AWS MCP Server's Main Use Cases & Applications
- Automating AWS resource provisioning and management through AI assistants
- Performing security audits and compliance checks
- Cost analysis and optimization of AWS usage
- Simplifying complex command execution with prompt templates
- Streamlining cloud infrastructure workflows
FAQs of AWS MCP Server
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