A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.
概览
A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP. The Model Context Protocol (MCP) is an open protocol that enables seamless integration between LLM applications and external data sources and tools. Whether you're building an AI-powered IDE, enhancing a chat interface, or creating custom AI workflows, MCP provides a standardized way to connect LLMs with the context they need. — Model Context Protocol README An MCP Server is a lightweight program that exposes specific capabilities through the standardized Model Context Protocol. Host applications (such as chatbots, IDEs, and other AI tools) have MCP clients that maintain 1:1 connections with MCP servers. Common MCP clients include agentic AI coding assistants (like Q Developer, Cline, Cursor, Windsurf) as well as chatbot applications like Claude Desktop, with more clients coming soon.
README
以下为原文 README 节选，完整内容请查看原文。
AWS MCP Servers
A suite of specialized MCP servers that help you get the most out of AWS, wherever you use MCP.
Table of Contents
- AWS MCP Servers
- Table of Contents
- What is the Model Context Protocol (MCP) and how does it work with AWS MCP Servers?
- Server Sent Events Support Removal
- Why AWS MCP Servers?
- Available MCP Servers: Quick Installation
- 🚀Getting Started with AWS
- Browse by What You’re Building
- Browse by How You’re Working
安装
uvx awslabs.core-mcp-server@latest配置
{
"mcpServers": {
"awslabs.core-mcp-server": {
"command": "uvx",
"args": [
"awslabs.core-mcp-server@latest"
],
"env": {
"FASTMCP_LOG_LEVEL": "ERROR"
}
}
}
}