alexei-led/aws-mcp-server
Overview
A lightweight server enabling AI assistants to execute AWS CLI commands, use Unix pipes, and apply prompt templates in a secure Docker environment with multi-architecture support.
Capabilities
- • stdio transport support
- • network transport options
- • resource handlers
- • prompt templates
- • github integration
- • mcp client integration
Best For
Lightweight server for AI assistants to run AWS CLI commands, use Unix pipes, and apply prompt templates in a secure Docker environment.
Decision Snapshot
Usage
detected in docs
Docs
5 links
Config
2 strong hints
Capabilities
7 key capabilities detected
- • GitHub stars: 181
- • Forks: 32
- • Source provenance count: 1
- • Active signal: Updated this week from lifecycle signals.
- • Last seen: 4/15/2026
- • Published: 3/17/2026
Features
- • Usage Guide — Tools, resources, and prompt templates
- • Security Architecture — IAM + Sandbox + Docker model
- • Development Guide — Contributing and testing
- • stdio transport support
- • network transport options
- • resource handlers
- • prompt templates
- • github integration
Use Cases
- • Supports capabilities such as: stdio transport support; network transport options; resource handlers.
- • Common usage themes: mcp, curated, markdown-list, awesome-mcp-servers-punkpeye.
Supported Clients / Integrations
- • stdio transport support
- • network transport options
- • resource handlers
- • prompt templates
- • github integration
- • mcp client integration
- • workflow automation support
Compatibility Signals
- • GitHub: supports (Detected in parser config/capability hints.)
Notes / Requirements
- • Primary language: Python
- • License: MIT
- • Documentation coverage: high
- • Parser coverage score: 1.00
- • Source feeds: Awesome MCP Servers (punkpeye)
- • Topic cluster: general
Official Links
Source Information
You can verify all information on this page against the source repository above.
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What To Do Next
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