MCP Server for AWS Resources

Name: MCP Server for AWS Resources
Author: paihari

@paihari

代码仓库

关于 MCP Server for AWS Resources

暂无概览

基本信息

分类

云与基础设施

运行时

python

传输方式

stdio

发布者

paihari

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-for-aws": {
      "command": "docker",
      "args": [
        "build",
        "-t",
        "mcp-server-aws-resources",
        "."
      ]
    }
  }
}

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is MCP Server for AWS Resources?

MCP Server for AWS Resources is a Model Context Protocol server that provides secure, dynamic access to AWS services through the SyntropAI abstraction layer. Part of the SyntropAI MCP Ecosystem, it supports any AWS service via dynamic SDK access with built‑in security sandboxing, without requiring hardcoded service catalogs.

How to use MCP Server for AWS Resources?

Deploy via Docker: build the image with docker build -t mcp-server-aws-resources . and run it with an AWS profile (-e AWS_PROFILE=default -v ~/.aws:/root/.aws) or environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION). Integrate with Claude Desktop by adding a Docker‑based entry to claude_config.json. The server accepts Python code snippets that are validated and executed in a sandbox.

Key features of MCP Server for AWS Resources

Universal AWS access – all services supported dynamically
Secure code execution with AST validation and sandboxing
Provider‑agnostic design using SyntropAI abstraction patterns
Future‑proof architecture – new AWS services work automatically
Docker containerization for production‑ready deployment
Dynamic schema generation – runtime API documentation

Use cases of MCP Server for AWS Resources

List EC2 instances by executing a safe Python snippet via Claude
Create an S3 bucket with a specified name using dynamic SDK calls
Query Lambda function metadata without modifying the server’s code
Manage any AWS resource in a unified, multi‑cloud manner

FAQ from MCP Server for AWS Resources

What does this server do that traditional AWS MCP servers do not?

It provides dynamic access to any AWS service without hardcoded service catalogs. The SyntropAI abstraction layer supports runtime API discovery and secure code execution, so new AWS services work immediately without server updates.

What are the runtime dependencies?

Python 3.10 or higher, AWS credentials (via ~/.aws/credentials, environment variables, or IAM roles), Docker (recommended), and the SyntropAIBox core library.

Where does data live?

Data resides in the AWS services you access. The server itself only sends queries to AWS on your behalf and returns JSON‑serialized results.

What security measures protect the execution environment?

AST validation prevents malicious code injection, only whitelisted imports (e.g., boto3) are allowed, execution runs in a sandbox with a default 2‑second timeout, and all responses are JSON‑serialized.

How is authentication handled?

AWS credentials are provided via environment variables (AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_DEFAULT_REGION) or by mounting a local ~/.aws directory with a configured profile.

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