AWS Model Context Protocol (MCP) Server

Name: AWS Model Context Protocol (MCP) Server
Author: alexei-led

@alexei-led

关于 AWS Model Context Protocol (MCP) Server

A lightweight service that enables AI assistants to execute AWS CLI commands (in safe containerized environment) through the Model Context Protocol (MCP). Bridges Claude, Cursor, and other MCP-aware AI tools with AWS CLI for enhanced cloud infrastructure management.

#docker #aws #devops #mcp #cloud-infrastructure #claude #aws-automation #ai-assistant #mcp-server #modelcontextprotocol

基本信息

分类

云与基础设施

许可证

MIT

运行时

python

传输方式

stdio

发布者

alexei-led

提交者

Alexei Ledenev

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "aws-mcp-server": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-v",
        "/Users/YOUR_USER_NAME/.aws:/home/appuser/.aws:ro",
        "ghcr.io/alexei-led/aws-mcp-server:latest"
      ]
    }
  }
}

工具

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概览

What is AWS MCP Server?

It is an MCP server that gives Claude access to all 200+ AWS services by wrapping the AWS CLI rather than each API individually. It lets Claude learn and execute AWS CLI commands on your behalf, with your IAM policy controlling what succeeds. It is for users who want to interact with AWS securely through AI assistants.

How to use AWS MCP Server?

Install prerequisites (AWS CLI, credentials, uv), then configure the server in your MCP client by adding a uvx aws-mcp command to your MCP settings. For stronger isolation, run via Docker with read-only AWS credentials. Claude uses two tools: aws_cli_help to get command documentation and aws_cli_pipeline to execute commands with optional pipes (jq, grep).

Key features of AWS MCP Server

Provides access to all 200+ AWS services via the AWS CLI
Two tools: aws_cli_help and aws_cli_pipeline
Supports stdio and streamable–http transports
Docker deployment for stronger host isolation
IAM policy acts as the security boundary
Configurable timeout, output limit, and sandbox mode

Use cases of AWS MCP Server

Automating AWS resource management through natural language prompts
Querying AWS service state and metadata via Claude
Running AWS CLI commands with piped processing (e.g., filtering with jq)
Safely delegating AWS operations with fine–grained IAM controls

FAQ from AWS MCP Server

What AWS services can I access?

All 200+ AWS services supported by the AWS CLI are accessible through the two server tools.

How does security work?

Your IAM policy is the security boundary. The server executes whatever AWS commands Claude requests, and IAM controls which commands actually succeed. Use a least–privilege IAM role and never root credentials.

What are the prerequisites?

The AWS CLI installed, AWS credentials configured, and uv installed (for uvx). Optionally, Docker for containerized deployment.

What transports are supported?

The server supports stdio (default) and streamable-http transports. The sse transport is deprecated; use streamable-http for web-based MCP clients.

What configuration options are available?

Key environment variables include AWS_PROFILE (default profile), AWS_REGION (default us-east-1), AWS_MCP_TIMEOUT (300s), AWS_MCP_MAX_OUTPUT (100,000 characters), AWS_MCP_TRANSPORT (stdio), and AWS_MCP_SANDBOX (auto).

云与基础设施分类下的更多 MCP 服务器

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K8s-mcp-server is a Model Context Protocol (MCP) server that enables AI assistants like Claude to securely execute Kubernetes commands. It provides a bridge between language models and essential Kubernetes CLI tools including kubectl, helm, istioctl, and argocd, allowing AI syste

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