Control AWS infrastructure with natural language. Model Context Protocol server connecting Claude Desktop to your AWS account.
概览
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to large language models (LLMs). Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standard method for connecting devices to various accessories, MCP provides a standard method for connecting AI models to different data sources and tools. MCP enables building complex agents and automated workflows based on LLMs. LLMs often need to integrate with data and tools, and MCP provides: - that allow your LLM to connect directly. - to switch between LLM providers. - within your infrastructure. At its core, MCP follows a client-server architecture where a host application can connect to multiple servers: - : Programs like Claude Desktop, IDEs, or AI tools that want to access data through MCP. - : Protocol clients that maintain 1:1 connections with servers. - : Lightweight programs, each providing specific capabilities through the Model Context Protocol.
README
以下为原文 README 节选，完整内容请查看原文。
AWS MCP: Model Context Protocol on AWS
Introduction to Model Context Protocol (MCP)
Getting Started with MCP
MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to large language models (LLMs). Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standard method for connecting devices to various accessories, MCP provides a standard method for connecting AI models to different data sources and tools.
Why Use MCP?
MCP enables building complex agents and automated workflows based on LLMs. LLMs often need to integrate with data and tools, and MCP provides:
- A growing list of ready-to-use integrations that allow your LLM to connect directly.
- Flexibility to switch between LLM providers.
- Best data security practices within your infrastructure.
General Architecture
At its core, MCP follows a client-server architecture where a host application can connect to multiple servers:
- MCP Hosts: Programs like Claude Desktop, IDEs, or AI tools that want to access data through MCP.
- MCP Clients: Protocol clients that maintain 1:1 connections with servers.
- MCP Servers: Lightweight programs, each providing specific capabilities through the Model Context Protocol.
- Local Data Sources: Files, databases, and services on your computer that MCP servers can securely access.
- Remote Services: External systems available on the Internet (e.g., via APIs) that MCP servers can connect to.
Introduction to AWS MCP
AWS MCP (Model Context Protocol) is a server that enables AI assistants like Claude to interact with AWS environments through natural language. This makes it easy to manage and query AWS resources without using the traditional AWS Console or CLI.
AWS MCP can be considered a powerful alternative to Amazon Q, offering greater flexibility and security.
Key Features
- Query and modify AWS resources using natural language
- Support for multiple AWS profiles and SSO authentication
- Multi-region AWS support
- Secure credential management (credentials are never exposed externally, only used locally)
- Local execution with your AWS credentials
Prerequisites
To use AWS MCP, ensure your environment has:
- Node.js
- Claude Desktop application
安装
This server does not publish a one-line install command.
Open the repository installation guide 新手？先看 mcpskill.org 教程 →配置
{
"mcpServers": {
"aws": {
"command": "npm", // or pnpm
"args": [
"--silent",
"--prefix",
"/Users/<YOUR USERNAME>/aws-mcp",
"start"
]
}
}
}