How do I get started with alexei-led/aws-mcp-server?

The best way to get started with alexei-led/aws-mcp-server is to follow these steps: 1) Install using the command shown above 2) Read the documentation on the project's repository 3) Try out the examples provided in the documentation

Is alexei-led/aws-mcp-server free to use?

Yes, alexei-led/aws-mcp-server is available under the open source license, which means it's free to use for most purposes. However, we recommend checking the specific license terms for any limitations or requirements.

How can I contribute to alexei-led/aws-mcp-server?

Contributions to alexei-led/aws-mcp-server are welcome! Here's how you can contribute: 1) Report bugs by opening issues on the GitHub repository 2) Suggest new features or improvements 3) Submit pull requests with code changes 4) Improve documentation 5) Share your experience and help other users in discussions

ToolHero

Tool Details

alexei-led/aws-mcp-server

python 0

A lightweight but powerful server that enables AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates for common AWS tasks in a safe Docker environment with multi-architecture support

View Repository Bookmark

Installation & Usage

INSTALLATION

# Visit https://github.com/alexei-led/aws-mcp-server for installation instructions

Frequently Asked Questions

Tool Statistics

Stars 0
Forks
Last Updated Sep 19, 2025
Language python
Bookmarks 0

Related Tools

portainer/portainer-mcp

🏎️ ☁️/🏠 A powerful MCP server that enables AI assistants to seamlessly interact with Portainer instances, providing natural language access to container management, deployment operations, and infrastructure monitoring capabilities.

erikhoward/adls-mcp-server

🐍 ☁️/🏠 MCP Server for Azure Data Lake Storage. It can perform manage containers, read/write/upload/download operations on container files and manage file metadata.

alexei-led/k8s-mcp-server

A lightweight yet robust server that empowers AI assistants to securely execute Kubernetes CLI commands (`kubectl`, `helm`, `istioctl`, and `argocd`) using Unix pipes in a safe Docker environment with multi-architecture support.